Download Portfolio - Department of Electrical Communication Engineering

portfolio of
prototype systems and tools developed
Wi-Fi
ADWISER
a centralized performance
management controller
SeaMo+
MOBILITY
MANAGEMENT
seamless mobility
management over
heterogeneous
access networks
AMBULET
a patient telemetry system
SmartConnect
INTERNET
OF
THINGS
network design tools
for WSNs
6PANview
network monitoring
for 6LoWPAN WSNs
CyPhyS+
remote health monitoring
for old-age homes
Department of Electrical Communication Engineering
and
Department of Electronic Systems Engineering
Indian Institute of Science, Bengaluru
Wi-Fi
ADWISER
A Centralised Approach for WLAN Performance Management
ADWISER is a centralised performance
management system for heterogeneous
enterprise networks comprising of an
Ethernet LAN, a WiFi, and an Internet
access link. Such networks are now
common in enterprises, campuses and
homes, and carry the traffic generated
by variety of end-user applications,
with each application imposing its own
performance requirements. ADWISER
has been developed on off-the-self
hardware, as a user application over the
Linux OS.
a typical enterprise network, showing the placement of ADWISER
ADWISER approach
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Follows a centralised Split-MAC type architecture and works with existing WLAN
infrastructure without requiring any
changes to the APs
All the traffic between the wireline and
wireless networks is made pass through it
Virtual servers and queues in ADWISER result in queuing at the Internet link and the
Wi-Fi medium occurring within ADWISER
Employs a coarse-grained time-sliced
scheduling mechanism (CTSM)
Dynamic AP-STA link dependencies are
considered while managing multiple APs
Works in conjunction with an HTTP proxy
to mitigate the effect of CTSM on WANWLAN TCP traffic
ADWISER software architecture
multi-AP performance
The channel sharing mechanism employed in
DCF is CSMA/CA, in which a device listens for
a clear channel before attempting to transmit. This technique does not work if the two
transmitters cannot hear each other but their
receivers are each in the range of the other’s
transmitter. This is called the hidden node problem. This problem causes poor TCP download
throughputs and stalling of video streaming at
STA 2 and STA 3 in the accompanying diagram.
all the STAs are doing a bulk file download from a server on the LAN
physical testbed experiment
The layout of an actual experiment, along with the structure of the building, is shown in the figure. There are four STAs
associated with two co-channel APs. The dashed lines indicate STA-AP associations, while the dotted red lines indicate
STA-AP interference. In the experiment, each of the STAs is downloading a large file from a server on LAN.
A sample of results is shown in the
plots of throughputs versus time.
During the intervals 0-100 seconds
and 200-300 seconds, the network is in
unmanaged mode (without ADWISER)
and the TCP throughputs obtained
indicate the behaviour of the default
IEEE 802.11 DCF. STA2 and STA3 get
very low throughput because these
are the links “in-the-middle” (exposed
nodes). Also, STA1 and STA4 obtain
highly variable throughput, even
though they are independent of each
other.
In the managed mode, ADWISER
serves packets using a time-sliced
fair queuing scheduler. Sets of independent links are activated in a time
slice, whereas dependent links are
scheduled in non-overlapping time
slices. As a result during the periods
100-200 seconds and 300-400 seconds,
STA1 and STA4 obtain throughputs
of 11Mbps each, and STA2 and STA3
obtain 5.5 Mbps each. In addition, we
see that, due to the independent link
scheduling, the throughputs are quite
flat over time. Further, the aggregate
throughput increases to about 32
Mbps from 20 Mbps obtained in the
unmanaged mode. This certainly is a
remarkable improvement over the unmanaged situation, all being achieved
with no changes to the APs or the STAs.
measured throughput of all the STAs in unmanaged mode and ADWISER managed mode
ADWISER feature suite
performance management module
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Jointly manages Internet access link bandwidth
and the WiFi wireless medium
Enforces unified policies across the enterprise
Provides differential QoS guarantees to different
user profiles
Enhances power saving on hand-held devices
Addresses WLAN multi-rate unfairness
Addresses hidden and exposed node problems
channel allocation and client-AP allocation
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Efficient channel allocation
Efficient station association
ADWISER web-portal
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Web-based ADWISER configuration
Online time series statistics display
mobility
SeaMo+
management
A Real Time Remote Patient Monitoring for Mobile Doctors
Remote health care monitoring applications
involve communication of voice, video or health
care information between a hospital and remote
patient locations. End devices such as tablets
and smartphones, enable medical professionals
to get vital medical information of patients continuously in real-time, and also facilitate doctors
to interact with their patients through video/
voice, even whilst mobile. In this scenario, one
of the major technological challenges faced is to
ensure that the doctors are always connected to
the best possible network from Wi-Fi, 3G or 4G.
architecture
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SeaMo+ follows a 3-stage modular architecture
Pre-handoff module : Uses network connection manager APIs for obtaining online network information
Network handover decision module : Fuzzy logic based multi-parameter decision algorithm is used to trigger
hand-off
Post-handoff : Manages the seamless session continuity based on our proposed VRMS IP mobility framework
VRMS: IP mobility framework
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VRMS is a light-weight application layer service which offers seamless session continuity to end user applications
A client application CApp initiates a session with a remote server CApp through the VRMS, which provides the
virtual application server module, VSA
The VSA initiates the connection to SApp and manages the session with SApp when the device is mobile
features
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Provides uninterrupted and continuous access to real-time patient vital information and enables video/voice
interaction between doctor and patient in a heterogeneous wireless network environment
Supported applications include remote desktop sharing, video streaming and live image streaming
Enhance the data availability through redundancy to cover failures and also for load balancing
available on
mobility
AMBULET
management
A Patient Telemetry System (Care beyond ICU. Enabling Care Everywhere)
AMBULET is a patient telemetry system intended to communicate voice, video and vital healthcare information of the
patient from the ambulance to the doctor in case of an emergency. AMBULET Hub is a device which essentially will
have the facility to acquire, store and transmit vital parameters of a patient in remote location (Home or Ambulance).
The AMBULET Hub, which is currently under development, is a multi 3G/4G/WiFi network access device for seamless
and high performance mobile network access. The AMBULET hub employs an enhanced version of an indigenously
developed seamless IP mobility management architecture SeaMo+.
architecture
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The Network Quality Assessment module gathers the RSSI values and the Bandwidth of the all the available networks
The Network Handover Algorithm takes all the parameters and determines the best network among the available ones
The VRMS module uses the network suggested by Network Handover Algorithm to transmit the data to the doctor
the mobile source scenario (ambulance)
the AMBULET sender
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The mobile sender side has the VRMS implementation.
The application programs on the sender side connect to
AMBULET for their services.
AMBULET connects to all available cellular provider networks, SP1, SP2,… and sends the data on the networks with
the required link quality. Data replication is used for certain
applications that require real-time and reliable data delivery.
the AMBULET receiver
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The received data from the AMBULET sender is processed at the receiver side of AMBULET running on
receiving host.
The AMBULET receiver processes incoming data and ensures in-sequence, duplicate free delivery of data to the
end application separate buffer space and packet timeout are maintained based on application requirements.
features
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Provides seamless application session continuity across multiple 3G/4G mobile access networks using Virtual
Real-time Multimedia Service Framework (VRMS)
Ensures highly reliable and timely delivery of patient vital medial information in real-time
Judicious use of multiple service provider networks to support real-time multimedia applications along with time
critical and reliable delivery of medical vitals
Supports MJPEG, MPEG4, SIP VoIP calls, remote desktop sharing
Built-in GPS feature to track the ambulance and make intelligent choice of the network for enhanced performance
field tests
Extensive experimentation was done to evaluate AMBULET. The figure below shows the outcome of one such experiments conducted in and around IISc Campus. The location where AMBULET switches from one provider to another
provider are marked on the map. The above diagram illustrates the network handovers that have taken place between
Wi-Fi (Yellow), Airtel (Red), BSNL (Green) and TATA DOCOMO (Blue).
internet
of
things
SmartConnect
Network Deployment for the Internet of Things
SmartConnect is a network design and deployment tool for connecting sensors to a control centre by means of a
multi-hop wireless relay network, thereby to realise the edge networks for the Internet of Things. Given the location
of the sensors, the traffic that each sensor generates, the QoS requirements, and the potential locations at which the
relays can be placed, SmartConnect provides a methodology for designing and deploying a low cost wireless relay
network. Planned deployment of wireless sensor networks (WSNs) may not always be possible, especially when the
deployment terrain is large. SmartConnect can be used to design network for planned and as-you-go deployment
scenarios.
architecture
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SmartConnect comprises the nodes deployed on the field, the BS that interconnects the wireless relay network
with the control LAN, and the SmartConnect console. The network designer uses the SmartConnect backend
remotely over the 6LoWPAN based WSN.
A JAVA based GUI provides an interface to design and monitor the network, and also a command interface to
interconnect deployed motes.
SmartConnect mote implementation is on Contiki 6LoWPAN/RPL protocol stack
features
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Network design over the Internet
Supports 6LoWPAN WSN
At any stage in the iterative
design the user can intuitively
modify the relay augmentation
suggestion of the algorithm
Allows multiple deployment
strategies
Available on mote platforms
running Contiki RPL protocol
stack
design approach
planned deployment
The network designs are based on approximation
algorithms or heuristics for various Steiner graph
design problems. Using these algorithms in its
backend, SmartConnect provides two design methodologies: one-shot approach that requires field
measurements of all potential links, and a second
iterative approach that works with measurement
based models and fields measurements.
as-you-go deployment
Network Design Approach
The deployment algorithms optimise the energy expenditure in the network subject to constraints on QoS and the
number of relays placed in the terrain. We developed powerful algorithms for impromptu deployment along a line
which could effectively model a forest trail or a road.
deployment process
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We start from the sink node, and explore the terrain (e.g. a forest trail), in multiples of a chosen distance (e.g. 50
meters)
At each such location we must decide whether to place a relay or not
If a relay (or the sink) is placed at a location, then measure the link quality from the next K (a parameter) locations to this
“previous” node, using a range of power levels at each of the K candidate locations
We provide an algorithm that uses these measurements to place the next node
The process is repeated until the source location is discovered
deployment platform
It consists of USB GPS receiver (SiRF STAR III chipset), a ZigBee Mote and a handheld Device (a netbook running
fedora 12 distribution).
internet
of
things
6PANview
A Network Monitoring System for 6LoWPAN IoT
6PANview is an SNMP based network monitoring system that enables one to monitor and manage a remotely
deployed 6LoWPAN based WSN on the Internet, ensuring proper functioning, improved performance and lifetime
of the WSN. 6PANview has been released as an open source software and is being used in several ongoing WSN
projects undertaken by our lab.
features
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Light-weight SNMP agent on the motes
Application performance conscious network
monitoring activity
Supported on Contiki and TinyOS 6LoWPAN/
RPL, stack implementations
Monitored parameters : Battery voltage, link
and network traffic counters, link performance
(ETX), RPL routing information
Provides integrated and intuitive graphical
interface for the administrator
Data logging and time series plots using RRDtool
6PANview can be downloaded from url:
http://sourceforge.net/projects/sixpanview
big picture
mote platforms supported
TelosB, iWiSe (C-DAC, Trivandrum), IRIS, Wismote, IIT-H (IIT, Hyderabad), We-Doc (DESE, IISc)
implementation
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Java based admin Console: Configuration & Statistics Display
PAN Server: Application conscious monitoring activity scheduling, Statistics Collection in DB
Light weight SNMP agent with a flash program memory of 4KB
RRDTool: Web based online time series plots and reports
SNMP before code optimisation
SNMP after code optimisation
6PANview GUI
Comes with features such as online time series graphs and reports for various monitored variables, including node
battery voltage level, link and network layer packet counts, link quality (ETX), node network activity, path information
and network connectivity.
6PANview embedded environment
internet
of
things
CyPhyS+
Remote Health Monitoring for Old-age Homes
CyPhys+ is a Cyber Physical System for the elderly in old-age homes that provides remote monitoring of their vital
health parameters from a wearable device over the Internet. CyPhys+ enables early detection of a possible health
problems by informing remotely located doctor in real time.
big picture
features
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Remote access to all the wearable device over the Internet
Vital medical information in real-time, data analysis and annotations
Reliable data delivery over low power lossy wireless networks using LinkPeek
Secure communication
User friendly and intuitive web interface
Restful architecture and Network monitoring using 6PANview+
IPv6 , 6Lowpan, SNMP, HL7,IEEE 11073, AMSA
platforms used (SW & HW)
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MSP430F5438A running Contiki performs control logic required
for peripheral device operation and gateway functionality
Data from medical sensors and on board sensors is sent over
6LoWPAN WSN to the backend internet infrastructure
Battery backup up to 24 hours of continuous operation
Inbuilt voltage regulator and protection circuit
MATLAB, GNU Octave, Bluetooth 4.0, 6lowpan, Contiki Django,
We-Doc: WBAN Gateway
implementation highlights
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We-Doc: WBAN Gateway - MSP 430F5438A, BLE 4.0, CC2520 Radio, 32 MB flash, RTC, JTAG/UART, Debug
interface and power management
Data Security-128 bit AES & CBC-MAC and Encryption, Decryption Authentication for secure message transfer;
Private Key/Symmetric Key distribution
LinkPeek a mechanism for high message reliability over low power and lossy wireless networks
Medical signal processing pre-processing, denoising, heart rate calculation, HL7 based annotations of the ECG
signal, and monitoring other vitals including blood pressure and dissolved oxygen (SpO2)
Django 1.6 based web frame works with MySQL database
Graphical implementation of patient’s medical data; dedicated recommendations column for users
6PANview+ network implements light weight SNMP agent on the motes which is based on its predecessor
6PANview
frontend GUI
web display of patient’s vital information
publications
ADWISER
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Manoj Panda and Anurag Kumar, “Cell-Level Modeling of 802.11 WLANs,” Ad Hoc Networks, vol 25, pages 84-101, 2015.
Malati Hegde, Pavan Kumar, K. R. Vasudev, N. N. Sowmya, S. V. R. Anand, Anurag Kumar, and Joy Kuri, “Experiences with a
Centralised Scheduling Approach for Performance Management of IEEE 802.11 Wireless LANs,” IEEE/ACM Transactions on
Networking, vol. 20, no. 2, pages 648-662, April 2013.
Pradeepa B. K. and Joy Kuri, “An Estimated Delay based Association Policy for Web Browsing in a Multirate WLAN”, in IEEE
Transactions on Network and Service Management vol 9, no. 2, pp 346--358, September 2012.
Pradeepa B. K. and Joy Kuri, “ Aggregate Download Throughput for TCP-controlled Long File Transfers in a WLAN with Multiple STA-AP Association Rates”, in Performance Evaluation vol 69, pp 289-296, 2012.
Sumankumar Panchal, S. V. R. Anand, and Malati Hegde, “Power Management in IEEE 802.11 WLAN using Proxy-Assisted
WLAN Controller,” E6 WORKSHOP, COMSNETS-2012, January 2012.
Vikram Ravindra, Aditya Prakash, S. V. R. Anand, and Malati Hegde ”Implementation of Throughput Enhancing Client-AP
Association Scheme On a WLAN Controller,” Demo paper WISARD, COMSNETS-2012, January 2012.
Manoj K. Panda and Anurag Kumar, ``State Dependent Attempt Rate Modeling of Single Cell IEEE 802.11 WLANs with Homogeneous Nodes and Poisson Packet Arrivals,’’ Performance Evaluation (an Elsevier Journal), Vol. 69, 2012.
K. Subhashini and Anurag Kumar, “Modeling the Effect of Transmission Errors on TCP Controlled Transfers over Infrastructure 802.11 WLANs,” MSWIM ’11: 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and
Mobile Systems, Miami, Oct-Nov 2011.
Pradeepa B. K. and Joy Kuri, “ Aggregate AP Throughputs for Long File Transfers in a WLAN controlled by Inhomogeneous
TCP Connections”, in the Proceedings of the International Conference on Communications and Signal Processing, February
10-12, 2011, National Institute of Technology, Calicut.
Pradeepa B. K. and Joy Kuri, “ Performance of an Access Point and a station considering TCP traffic in the presence of propagation delay”, in the Proceedings of the National Conference on Communications 2011 (NCC 2011), January 28-30, 2011,
Indian Institute of Science, Bangalore, India.
Sri Harsha, Anurag Kumar, and Vinod Sharma, ``An Analytical Model for Performance Evaluation of Multimedia Applications
over EDCA in an IEEE 802.11e WLAN, ‘’Wireless Networks (a Springer Journal), vol. 16, issue 2, page 367, 2010.
Malati Hegde, Pavan Kumar, K. R. Vasudev, S. V. R. Anand, Anurag Kumar, and Joy Kuri, “ADWISER: An Integrated Approach
for Internet Access Bandwidth and Performance Management of an Enterprise Network,” WISARD, COMSNETS- 2010 Proceedings.
George Kuriakose, Sri Harsha, Anurag Kumar, and Vinod Sharma, “Analytical Models for Capacity Estimation of IEEE 802.11
WLANs using DCF for Internet Applications,” Wireless Networks (A Springer Journal), Vol. 15:2, pp. 259–277, February 2009.
Malati Hegde, Pavan Kumar, K. R. Vasudev, S. V. R. Anand, Anurag Kumar, Joy Kuri, “Experiences with WM: A Centralised
Scheduling Approach for Performance Management of IEEE 802.11 Wireless LANs,” Proceedings of WISARD 2009, Bangalore, January 2009.
Onkar Bhardwaj, G. V. V. Sharma, Manoj Panda, and Anurag Kumar, “Modeling Finite Buffer Effects on TCP Traffic over an
IEEE 802.11 Infrastructure WLAN,” Computer Networks (an Elsevier Journal),Vol. 53, pages 2855-2869, 2009.
Venkatesh Ramaiyan, Anurag Kumar, and Eitan Altman, “Fixed Point Analysis of Single Cell IEEE 802.11e WLANs: Uniqueness and Multistability,” IEEE/ACM Transactions on Networking, Vol. 16, No. 5, pp. 1080-1093, October 2008.
Anurag Kumar, Eitan Altman, Daniele Miorandi, and Munish Goyal, “New Insights from a Fixed-Point Analysis of Single Cell
IEEE 802.11 WLANs,” IEEE/ACM Transactions on Networking, Vol. 15, No. 3, pp. 588 - 601, June 2007.
Malati Hegde, S. V. R. Anand, Anurag Kumar, and Joy Kuri, “WLAN Manager (WM) : a Device for Performance Management
of a WLAN,” International Journal of Network Management, (a Wiley Interscience journal), vol. 17, pages 155-170, January
2007.
SmartConnect
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Arpan Chattopadhyay, Avishek Ghosh, A. S. Rao, Bharat Dwivedi, S. V. R. Anand, Marceau Coupechoux and Anurag Kumar,
“Impromptu Deployment of Wireless Relay Networks: Experiences Along a Forest Trail,” accepted in IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS), 2014.
Abhishek Sinha, Arpan Chattopadhyay, Naveen K. P., Marceau Coupechoux and Anurag Kumar, “Optimal Sequential Wireless
Relay Placement on a Random Lattice Path,” Ad Hoc Networks Journal (Elsevier), volume 21, pages 1-17, October 2014.
Avishek Ghosh, Arpan Chattopadhyay, Anish Arora, and Anurag Kumar, ``As-You-Go Deployment of a 2-Connected Wireless
Relay Network for Sensor-Sink Interconnection,’’ presented in SPCOM 2014.
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Abhijit Bhattacharya, Akhila Rao, Naveen K. P., Nishanth P. P., S. V. R. Anand, and Anurag Kumar, “QoS Constrained Optimal
Sink and Relay Placement in Planned Wireless Sensor Networks”, IEEE SPCOM 2014, Bangalore, India.
Arpan Chattopadhyay, Marceau Coupechoux and Anurag Kumar, “Measurement Based Impromptu Deployment of a MultiHop Wireless Relay Network,” Proceedings of the 11th IEEE Intl. Symposium on Modeling and Optimization in Mobile, Ad
Hoc, and Wireless Networks (WiOpt), 2013.
Abhijit Bhattacharya, Sanjay Motilal Ladwa, Rachit Srivastava, Aniruddha Mallya, Akhila Rao, Deeksha G. Rao Sahib, S. V. R.
Anand, and Anurag Kumar, “SmartConnect: A System for the Design and Deployment of Wireless Sensor Networks”, COMSNETS 2013, Bangalore, India.
Arpan Chattopadhyay, Abhishek Sinha, Marceau Coupechoux, and Anurag Kumar, ``Optimal Capacity Relay Node Placement
in a Multi-hop Network on a Line,’’ presented in RAWNET 2012 (Resource Allocation in Wireless Networks), a workshop in
WiOpt’12.
Prasenjit Mondal, Naveen K. P., and Anurag Kumar, ``Optimal Deployment of Impromptu Wireless Sensor Networks,’’ presented in NCC 2012.
Abhijit Bhattacharya and Anurag Kumar, “Delay constrained optimal relay placement in planned wireless sensor networks,”
IEEE IWQoS 2010, Beijing, China.
6PANview
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Abhay Rao, Sutasom Bhaumik, Lohith Y. S., Brinda, M. C., S. V. R. Anand, and Malati Hegde, “6PANview: Application performance conscious network monitoring for 6LoWPAN based WSNs”, National Conference on Communications (NCC), 3-5 Feb.
2012, Kharagpur.
Lohith Y. S., Brinda M. C., Nithin K. N., Sripada Kadambar, S. V. R. Anand, Malati Hegde, “6PANview: A network monitoring
system for the Internet of Things”, WISARD, COMSNET-2011.
SeaMo+
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Baba Prasad G., Seema K., Shrikant U. H., Gopi Krishna Garge, S. V. R. Anand, and Malati Hegde ”SeaMo+: A Virtual Real-time
Multimedia Service Framework on Handhelds to enable Remote Real-time Patient Monitoring for Mobile Doctors”, COMSNETS 2013, Bangalore, India.
Seema K., Gopi Krishna Garge, S. V. R. Anand, and Malati Hegde, “Seamo: A vertical handoff implementation for heterogeneous wireless networks, in Advanced Networking”, Asia-Pacific Advanced Network-2011, vol. 32, pp. 79 90, Aug. 2011.
M. Rafiq, Seema K., Nagaraj Kammar, Baba Prasad G., Gopi Krishan Garge, S. V. R. Anand, and Malati Hegde, “A vertical handoff decision scheme for end -to-end QoS in heterogeneous networks: An implementation on a mobile ip testbed”, National
Conference on Communications (NCC), pp. 15, Jan. 2011.
patents (filed)
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Malati Hegde, S. V. R Anand, Gopi Krishna Garge, Seema K., Baba Prasad G., Mohammad Rafiq, Shrikant Hallur, “Method and
System for Seamless Session Continuity of Real-time Multimedia Applications Across Heterogeneous Networks”, Indian
Patent Application No.4787/CHE/2013 Filed on 23.10.2013.
Anurag Kumar, S. V. R. Anand, Arun Augustine, Abhijit Bhattacharya, Rohan Krishnakumar, Sanjay Motilal Ladwa, Aniruddha
Mallya, Shivanna Manjula, Akhila Suresh Rao, Deeksha G.Rao Sahib, Mohan Shyam, Rachit Srivastava, Senju Thomas Panicker, Lijo Thomas, and Jerry Daniel John, ``Method and System for Designing a Multi-Hop Wireless Sensor Network,’’ Indian
Patent Application, December 2012.
Abu Sajana R., Ramanathan Subramanian, P. Vijay Kumar, Syam Krishnan, Bharadwaj Amrutur, Jeena Sebastian, Malati
Hegde, S. V. R. Anand, A Low-complexiy Algorithm for Intrusion Detection in a PIR-based Wireless Sensor Network, Indian
patent filed in Dec-2010.
Malati Hegde, Pavan Kumar, K. R. Vasudev, S. V. R. Anand, Arpita Agarwal, Sneha Aggarwal, Arpit Gupta, Sowmya N. Nambissan, Sumankumar Panchal, Anurag Kumar, Joy Kuri, “Methods and Apparatus for ADWISER: An Approach for Internet Access Bandwidth and WLAN Performance Management,” Indian Patent Application No. IP133482713/DEL/2009; filed
29.12.2010.
Malati Hegde, Pavan Kumar, K. R. Vasudev, S. V. R. Anand, Anurag Kumar, and Joy Kuri, “A Centralized Wireless Manager
(WiM) for Performance Management Of IEEE 802.11 and a Method thereof,” Indian Patent Application No. IP106072898/
DEL/2008; filed 19.12.2008; PCT Application No. PCT0921PCT/IN2009/000637; filed 12.11.2009.
the team
investigators
Prof. Anurag Kumar
Prof. Joy Kuri
Dr. Malati Hegde
Mr. Haresh Dagale
consultants
Mr. S V R Anand
Mr. Gopi Krishna Garge
project staff
(past & present)
Abhay Rao
Aniruddha Malya
Arpita Agarwal
Brinda MC
Jomo Thomas
Kumaresh S Dhotrad
Nidhi Madappa
Premkumar Noina
Shrikant Hallur
Suhas N
Surya Paruchuri
Vikram R
Yamuna Prakash
Akhila S Rao
Arpit Gupta
Bharat Dwivedi
Easwar Vivek
Kavita Rane
M Rafiq
Pavan Kumar
Seema K
Sowma Nambissan
Supreet
Vasudev KR
Aditya Prakash
Ani Rashmi Porwal
Baba Prasad G
Deeksha G Rao Sahib
Kapil Mathur
Lohith Y
Nishant Saini
Sathya Narsimman
Sneha Aggarwal
Sumankumar Panchal
Sutasom Bhowmick
students (PhD and Masters)
Abhijit Bhattacharya
Anu Krishna
George Kuriakose
Onkar Bhardwaj
Sri Harsha
Albert Sunny
Avishek Ghosh
Nikhil Vidhani
Rachit Srivastava
Venkatesh Ramaiyan
Akash Sharma
Arpan Chattopadhyay
Manoj Panda
Pranav Agarwal
Subhashini K
contact us
Network Labs
Department of Electrical Communication Engineering
Indian Institute of Science
Bengaluru - 560 012
Phone: 080-2360 1312/0855
Email: [email protected]
visit us at
www.ece.iisc.ernet.in/network_labs/index.html
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