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  • 标题:UAVs's efficient controlled mobility management for mobile heterogeneous wireless sensor networks
  • 本地全文:下载
  • 作者:Lyamine Guezouli ; Kamel Barka ; Asma Djehiche
  • 期刊名称:Journal of King Saud University @?C Computer and Information Sciences
  • 印刷版ISSN:1319-1578
  • 出版年度:2022
  • 卷号:34
  • 期号:6
  • 页码:2461-2470
  • DOI:10.1016/j.jksuci.2020.09.017
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Mobile Heterogeneous Wireless Sensor Networks (Heterogeneous WSNs) are mainly characterized by their internal diversity. In such networks, the variety of properties in each component provides profitable outcomes related to many metrics such as network lifetime and hardware cost. Although it offers remarkable advantages, random mobility causes major difficulties in the management of Heterogeneous WSNs. The purpose of this paper is to introduce a controlled mobility approach for Heterogeneous WSNs using Unmanned Aerial Vehicles (UAVs). According to experiments, the proposed deterministic and genetic methods can efficiently deal with the complexity of Mobile Heterogeneous WSNs compared to the previously applied random strategies. The obtained results prove that our suggested techniques can achieve a greater delivery ratio, a faster coverage time, and a faster latency.
  • 关键词:Heterogeneous wireless networks;Mobility management;Controlled mobility;Unmanned aerial vehicles;Deterministic algorithm;Genetic algorithm
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