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  • 标题:Routing in Wireless Sensor Networks: Improved Energy Efficiency and Coverage using Unmanned Vehicles
  • 本地全文:下载
  • 作者:Mr. Long Kim Le ; Ahmed M. Mahdy
  • 期刊名称:International Journal of Computer Networks (IJCN)
  • 电子版ISSN:1985-4129
  • 出版年度:2016
  • 卷号:8
  • 期号:2
  • 页码:27-41
  • 出版社:Computer Science Journals
  • 摘要: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.
  • 关键词:Unmanned Systems; Wireless Sensor Networks; Mobile Sinks; Scheduling; Routing; Coverage.
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