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  • 标题:GLBR: A novel global load balancing routing scheme based on intelligent computing in partially disconnected wireless sensor networks
  • 本地全文:下载
  • 作者:Zeyu Sun ; Guisheng Liao ; Cao Zeng
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2022
  • 卷号:18
  • 期号:4
  • 页码:1-13
  • DOI:10.1177/15501329221090458
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Load balancing is of great significance to extend the longevity of wireless sensor networks, due to the inherent imbalanced energy overhead in such networks. However, existing solutions cannot balance the load distribution in partially disconnected wireless sensor networks. For example, if a network is partitioned into several segments with different area sizes, some areas have much more traffic load than other areas. In this article, we propose a load-balanced routing scheme, which aims to balance energy consumption within each segment and among different segments. First, we adopt unequal transmission distances to build initial routing for intrasegment load balancing. Second, we adopt the genetic algorithm to build extra routing between different segments for intersegment load balancing. The unique character of our work is twofold. On one hand, we investigate partitioned wireless sensor networks where there are several isolated segments. On the other hand, we pursue load balancing from a global perspective rather than from a local one. Some simulations verify the effectiveness and the advantages of our scheme in terms of extra deployment cost, system longevity, and load balancing degree.
  • 关键词:Wireless sensor networks;routing control;intelligent computing;load balancing;genetic algorithm;network lifetime
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