Immune-inspired self healing in wireless sensor networks

Tionghoo Lim*, Huikeng Lau, Jon Timmis, Iain Bate

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

12 Citations (SciVal)

Abstract

Link failure and unreachable nodes due to interference from external devices are common problems in WSNs. These interferences can be a major inhibitor to node performance and network stability. In order to tolerate these failures, we propose an immune-inspired self healing system where an individual node can detect degradations in network performance, perform diagnostic tests, and provide automated immediate response to recover the network to a stable state. We evaluate and compare the performance of our approach with other routing protocols on a testbed environment using TelosB hardware motes.

Original languageEnglish
Title of host publicationArtificial Immune Systems - 11th International Conference, ICARIS 2012, Proceedings
PublisherSpringer Nature
Pages45-56
Number of pages12
ISBN (Print)9783642337567
DOIs
Publication statusPublished - 2012
Event11th International Conference on Artificial Immune Systems, ICARIS 2012 - Taormina, Italy
Duration: 28 Aug 201231 Aug 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7597 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Artificial Immune Systems, ICARIS 2012
Country/TerritoryItaly
CityTaormina
Period28 Aug 201231 Aug 2012

Keywords

  • error classification
  • error detection
  • error recovery
  • receptor density algorithm
  • routing protocol
  • wireless sensor networks

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