期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2013
卷号：1
期号：2
出版社：S&S Publications
摘要：Using multiple mobile agents (MA) in WSNs significantly improves the network efficiency andscalability of its data fusion applications. In multiple MA based computing, MA Itinerary Planning plays an importantrole and a badly designed Itinerary Plan severely affects the network and application performance. There are severalapproaches and schemes proposed and presented for the mobile agent’s itinerary planning in resource constrainedWSNs. Genetic Algorithm based optimization schemes are explored very little for efficient MIP (Multiple MobileAgents Itinerary Planning) solutions. Here we proposed a two phase design model (GA-OIP-MMA) with GeneticAlgorithm for global optimal itinerary planning of MAs followed by local dynamic in-network route adaptation byindividual MAs to design optimal MIP solutions for WSNs.
