Journal
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Volume 45, Issue 3, Pages 337-350Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207721.2012.723053
Keywords
wireless sensor networks; mobile sink; routing recovery; orthogonal learning strategy; immune algorithm; particle swarm optimisation algorithm
Categories
Funding
- National Nature Science Foundation of China [61134009, 60975059]
- Specialized Research Fund for the Doctoral Program of Higher Education from Ministry of Education of China [20090075110002]
- Specialized Research Fund for Shanghai Leading Talents
- Shanghai Committee of Science and Technology [11XD1400100, 11JC1400200, 10JC1400200, 10DZ0506500]
- Fundamental Research Funds for the Central Universities
- major National ST Programme [2011ZX03005-002]
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The growth of mobile handheld devices promotes sink mobility in an increasing number of wireless sensor networks (WSNs) applications. The movement of the sink may lead to the breakage of existing routes of WSNs, thus the routing recovery problem is a critical challenge. In order to maintain the available route from each source node to the sink, we propose an immune orthogonal learning particle swarm optimisation algorithm (IOLPSOA) to provide fast routing recovery from path failure due to the sink movement, and construct the efficient alternative path to repair the route. Due to its efficient bio-heuristic routing recovery mechanism in the algorithm, the orthogonal learning strategy can guide particles to fly on better directions by constructing a much promising and efficient exemplar, and the immune mechanism can maintain the diversity of the particles. We discuss the implementation of the IOLPSOA-based routing protocol and present the performance evaluation through several simulation experiments. The results demonstrate that the IOLPSOA-based protocol outperforms the other three protocols, which can efficiently repair the routing topology changed by the sink movement, reduce the communication overhead and prolong the lifetime of WSNs with mobile sink.
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