Srabani Kundu
Guru Nanak Institute of Technology
Brooks–Iyengar algorithmWireless networkSensor nodeBase transceiver stationDistributed algorithmAngle of arrivalEvent horizonVisual sensor networkTime seriesWi-Fi arrayCellular networkNetwork packetLatency (engineering)EcologyDigital geometryConvex hullShortest path problemWireless sensor networkTime constraintLocal convex hullNode (computer science)Point (geometry)Hop (networking)Application specificBoundary detectionCritical eventChemical pollutionComputer networkTestbedComputer scienceKey distribution in wireless sensor networksComputationNode (networking)TransmitterGeographic routingEvent (computing)Snapshot (computer storage)WirelessPower controlBoundary (topology)Base stationMobile wireless sensor networkRouting (electronic design automation)Transmission (telecommunications)Real-time computingWireless WANMobile telephonyInteger (computer science)Reduction (complexity)Latency (engineering)
8Publications
2H-index
16Citations
Publications 8
Newest
#1Srabani KunduH-Index: 2
#2Nabanita DasH-Index: 12
Last. Dibakar SahaH-Index: 4
view all 3 authors...
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#1Srabani Kundu (Guru Nanak Institute of Technology)H-Index: 2
#2Nabanita Das (ISI: Indian Statistical Institute)H-Index: 12
Last. Avirup Das (ISI: Indian Statistical Institute)H-Index: 2
view all 3 authors...
To monitor the events like forest fire, flood, earth tremor etc., event boundary detection and area estimation are two challenging tasks for Wireless Sensor Networks (WSN). Researchers, so far, have proposed various innovative solutions assuming the event boundary to be static. To monitor spatiotemporal events by WSN, in this paper, we study some existing techniques to report snapshots of event boundary in successive intervals, and compare their performance in respect of accuracy, latency and me...
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Jan 4, 2019 in ICDCN (International Conference of Distributed Computing and Networking)
#1Avirup Das (ISI: Indian Statistical Institute)H-Index: 4
#1Avirup Das (ISI: Indian Statistical Institute)H-Index: 2
Last. Srabani Kundu (Guru Nanak Institute of Technology)H-Index: 2
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The ever-increasing use of mobile phones, IoT, and the related infrastructures like wireless access points and mobile base stations is becoming a prominent source of non-ionizing electromagnetic field (EMF) having some harmful effects on our ecology. In this work, the effect of the non-ionizing electromagnetic radiation of BTS (Base Transceiver Station) and the Wi-Fi access points on our ecological system has been investigated over frequency band 900 MHz to 2500 MHz. A testbed is designed utiliz...
1 CitationsSource
#1Srabani Kundu (Guru Nanak Institute of Technology)H-Index: 2
#2Nabanita Das (ISI: Indian Statistical Institute)H-Index: 12
Last. Dibakar Saha (ISI: Indian Statistical Institute)H-Index: 4
view all 3 authors...
In wireless sensor networks with large number of sensor nodes, deployed to monitor a given region, it is often required to detect and localize a critical event, like forest fire, or chemical pollution etc., in real time. The challenge is to select a minimal set of affected nodes to report so that the desired accuracy of area estimation can be achieved keeping the latency low. So far, in the literature, it has been assumed that the area enclosed by the points of location of all affected nodes, ne...
1 CitationsSource
#1Srabani Kundu (ISI: Indian Statistical Institute)H-Index: 2
#2Nabanita Das (ISI: Indian Statistical Institute)H-Index: 12
Last. Dibakar Saha (ISI: Indian Statistical Institute)H-Index: 4
view all 4 authors...
In a wireless sensor network (WSN), sensor nodes are deployed to monitor a region. When an event occurs, it is important to detect and estimate the boundary of the affected area and to gather the information to the sink node in real time. In case, all the affected nodes are allowed to send data, congestion may occur, increasing path delay, and also exhausting the energy of the nodes in forwarding a large number of packets. Hence, it is a challenging problem to select a subset of affected nodes, ...
2 CitationsSource
#1Srabani Kundu (Guru Nanak Institute of Technology)H-Index: 2
In many real life applications of WSN, to monitor a wide inaccessible area, a large number of sensor nodes are deployed randomly over the region. When an event occurs, to identify the affected area immediately, it is necessary that the data and the locations of the affected nodes are reported to the sink node with minimum latency. In this paper, for 2D region, using some light-weight distributed in-node processing, a reduced set of boundary nodes are identified, which report to the sink node fol...
1 CitationsSource
#1Srabani Kundu (Guru Nanak Institute of Technology)H-Index: 2
#2Nabanita Das (ISI: Indian Statistical Institute)H-Index: 12
Given a large number of sensor nodes distributed randomly over a 2D region, we address the problem of estimating the boundary of an area affected by an event. The boundaries are often irregular shaped and accurate estimation of such boundaries requires complex computation and data structures which the tiny inexpensive sensor nodes, in general, can not support. In this paper, given a random distribution of homogeneous sensor nodes, in case of an event, the affected nodes execute a simple O(d) dis...
6 CitationsSource
Dec 1, 2012 in GLOBECOM (Global Communications Conference)
#1Srabani Kundu (Guru Nanak Institute of Technology)H-Index: 2
#2Nabanita Das (ISI: Indian Statistical Institute)H-Index: 12
In many applications of Wireless Sensor Networks (WSN), a large number of sensor nodes are distributed over an area under investigation. The sensors collect ground data at definite time interval and forward it to the sink. In case of an event, it is often required to estimate the affected area and to identify the location of the event. Since, in WSN, communication is costlier than in-network computation in terms of energy, it is better if the area can be estimated in a distributed fashion on the...
6 CitationsSource