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Routing in Wireless Sensor Networks: Improved Energy Efficiency and Coverage using Unmanned Vehicles
Long Kim Le, Ahmed M. Mahdy
Pages - 27 - 41     |    Revised - 31-07-2016     |    Published - 31-08-2016
Volume - 8   Issue - 2    |    Publication Date - August 2016  Table of Contents
Unmanned Systems, Wireless Sensor Networks, Mobile Sinks, Scheduling, Routing, Coverage.
This paper proposes a new method for collecting distributed data in Wireless Sensor Networks (WSNs) that can improve the energy efficiency and network coverage; especially in remote areas. In multi-hop communication, sink nodes are responsible for collecting and forwarding data to base stations. The nodes that are located near a sink node usually deplete their battery faster than other nodes because they are responsible for aggregating the data from other sensor nodes. Several studies have proved the advantages of using mobile sink nodes to reduce energy consumption. Nonetheless, the need for compatible and efficient routing algorithms cannot be understated. Accordingly, a hybrid routing algorithm based on the Dijkstra’s and Rendezvous algorithms is proposed. To improve the energy efficiency and coverage, Energy Efficient Hybrid Unmanned Vehicle Based Routing Algorithm (E2HUV) is proposed to create a routing path for Unmanned Aerial Vehicles (UAVs) that can be used as mobile sinks in WSNs. Performance results show that the E2HUV algorithm offers better efficiency as compared to currently existing algorithms.
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Mr. Long Kim Le
Texas A&M University-Corpus Christi - United States of America
Dr. Ahmed M. Mahdy
Texas A&M University-Corpus Christi - United States of America

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