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文章基本信息

  • 标题:Malicious Node Detection and Path Optimization: A Review
  • 本地全文:下载
  • 作者:Bhawna Bansal ; Deepak Goyal
  • 期刊名称:International Journal of Computer Science and Management Studies
  • 电子版ISSN:2231-5268
  • 出版年度:2013
  • 卷号:13
  • 期号:2
  • 出版社:Imperial Foundation
  • 摘要:Detection of a malicious node in neighbourhood is a requirement because otherwise that node may cause incorrect decisions or energy depletion. The methods to detect malicious node include the role-based trust approach, event-based trust approach, collaborative trust approach, and agent-based trust approach, neural-based approach. After malicious node detection we need to either correct it or choose another path. For choosing path we need to select optimized path from alternatives available. An optimization method that requires moderate memory and computational resources and produces good results is desirable. Swarm Intelligence is subfield of provides solution for complex optimization problems which are not easily tackled by other approaches. SI mainly consists on Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and Honeybees paradigms.
  • 关键词:Swarm intelligence; Trust-based approach; Wireless sensor networks.
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