A genetic algorithm approach to multi-agent itinerary planning in wireless sensor networks
作者： Wei Cai , Min Chen , Takahiro Hara , Lei Shu , Taekyoung Kwon
DOI: 10.1007/S11036-010-0269-Z
关键词:
摘要: It has been shown recently that using Mobile Agents (MAs) in wireless sensor networks (WSNs) can help to achieve the flexibility of over-the-air software deployment on demand. In MA-based WSNs, it is crucial find out an optimal itinerary for MA perform data collection from multiple distributed sensors. However, a single brings up shortcomings such as large latency, inefficient route, and unbalanced resource (e.g. energy) consumption. Then novel genetic algorithm based multi-agent planning (GA-MIP) scheme proposed address these drawbacks. The extensive simulation experiments show GA-MIP performs better than prior agent algorithms terms product delay energy
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