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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 • • • • • • 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 • • • • • • 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 • • Efficient channel allocation Efficient station association ADWISER web-portal • • 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 • • • • 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 • • • 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 • • • 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 • • • 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 • • • 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 • • 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 • • • • • 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 • • • 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 • • • • • 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 • • • • • 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 • • • • • • • 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 • • • • 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 • • • • • • • 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) • • • • • 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 • • • • • • • 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 • • • • • • • • • • • • • • • • • • 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 • • • 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. • • • • • • 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 • • 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+ • • • 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) • • • • • 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 or scan