Research Article
GA-MIP: Genetic algorithm based multiple Mobile Agents itinerary planning in wireless sensor networks
@INPROCEEDINGS{10.4108/ICST.WICON2010.8518, author={Wei Cai and Min Chen and Takahiro Hara and Lei Shu}, title={GA-MIP: Genetic algorithm based multiple Mobile Agents itinerary planning in wireless sensor networks}, proceedings={5th International ICST Conference on Wireless Internet}, publisher={IEEE}, proceedings_a={WICON}, year={2010}, month={4}, keywords={Application software Biomedical monitoring Computerized monitoring Condition monitoring Delay Genetic algorithms Genetic engineering Mobile agents Temperature sensors Wireless sensor networks}, doi={10.4108/ICST.WICON2010.8518} }- Wei Cai
Min Chen
Takahiro Hara
Lei Shu
Year: 2010
GA-MIP: Genetic algorithm based multiple Mobile Agents itinerary planning in wireless sensor networks
WICON
IEEE
DOI: 10.4108/ICST.WICON2010.8518
Abstract
It has been proven recently that using Mobile Agent (MA) in wireless sensor networks (WSNs) can drastically help to obtain the flexibility of application-aware deployment. Normally, in any MA based sensor network, it is an important research issue to find out an optimal itinerary for the MA in order to achieve efficient and effective data collection from multiple sensory data source nodes. In this paper, we firstly investigate a number of conventional single MA itinerary planning based schemes, and then indicate some shortcomings of these schemes, since only one MA is used by them. Having these investigations and analysis, a novel genetic algorithm based multiple MAs itinerary planning (GA-MIP) scheme is proposed to address the shortcomings of large latency and global unbalancing of using single MA, and its effectiveness is proved by conducting the extensive experiments in professional environment.
