An immune cooperative particle swarm optimization algorithm for fault-tolerant routing optimization in heterogeneous wireless sensor networks
type: Item
instance of: scholarly article
title: An immune cooperative particle swarm optimization algorithm for fault-tolerant routing optimization in heterogeneous wireless sensor networks
zbMATH Open document ID: 1264.90032
DOI: 10.1155/2012/743728
author: Yifan Hu
author: Yongsheng Ding
author: Kuangrong Hao
published in: Mathematical Problems in Engineering
publication date: 2013-06-11T00:00:00Z
review text: Summary: The fault-tolerant routing problem is important consideration in the design of heterogeneous wireless sensor networks (H-WSNs) applications, and has recently been attracting growing research interests. In order to maintain \(k\) disjoint communication paths from source sensors to the macronodes, we present a hybrid routing scheme and model, in which multiple paths are calculated and maintained in advance, and alternate paths are created once the previous routing is broken. Then, we propose an immune cooperative particle swarm optimization algorithm (ICPSOA) in the model to provide the fast routing recovery and reconstruct the network topology for path failure in H-WSNs. In the ICPSOA, mutation direction of the particle is determined by multi-swarm evolution equation, and its diversity is improved by immune mechanism, which can enhance the capacity of global search and improve the converging rate of the algorithm. Then we validate this theoretical model with simulation results. The results indicate that the ICPSOA-based fault-tolerant routing protocol outperforms several other protocols due to its capability of fast routing recovery mechanism, reliable communications, and prolonging the lifetime of WSNs.
Mathematics Subject Classification ID: 90B18
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 90B90
zbMATH DE Number: 6173539
Wikidata QID: Q58911702
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/743728
OpenAlex ID: W1967437224
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description: scientific article; zbMATH DE number 6173539