Satyanarayana V. Nandury

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In this paper we develop two new algorithms viz., CCP (Cluster-based Collection Point) and CRP (Cluster-based Rendezvous collection Points) that focus on i) reducing the number of data collection points to be visited by the Mobile Element (ME), and ii) determining an optimal path for ME. The algorithms follow a clustering approach, where a Cluster Head (CH)(More)
In the quest for better quality of life and living standards, people living in rural areas are expected to move to urban locales. As this trend continues, more than half of world's population is expected to make cities their place of dwelling. To meet this massive influx of rural masses into urban areas, the cities world over need to equip themselves with(More)
The myriad sensors deployed across a smart city, serve as major source for Big data, which can potentially be used for various applications like smart governance, smart energy, smart traffic, smart environment, etc. However, issues related to the handling of such huge volumes of data originating from thousands of heterogeneous sensor and IoT devices placed(More)
Interference due to concurrent link transmissions has for long been recognized as a major cause for issues like packet retransmissions, distorted signal strength and communication link failures in WSN. The two best known approaches to model interference, namely the Protocol Interference (PrI) and Physical Interference models, fail to identify all Potential(More)
WSNs are often besieged with issues related to interference when transmissions of two or more closely located sensor nodes interfere with each other. This forces the data aggregating nodes to receive distorted, faulty or interference ridden signals, which severely affects the fidelity of data being aggregated. If such faults are not arrested at the source,(More)
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