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GA based Optimal Itinerary Planning for Multiple Mobile Agents in Wireless Sensor Networks

A N Rani, Lalit Dole

Using multiple mobile agents (MA) in WSNs significantly improves the network efficiency and scalability of its data fusion applications. In multiple MA based computing, MA Itinerary Planning plays an important role and a badly designed Itinerary Plan severely affects the network and application performance. There are several approaches and schemes proposed and presented for the mobile agent’s itinerary planning in resource constrained WSNs. Genetic Algorithm based optimization schemes are explored very little for efficient MIP (Multiple Mobile Agents Itinerary Planning) solutions. Here we proposed a two phase design model (GA-OIP-MMA) with Genetic Algorithm for global optimal itinerary planning of MAs followed by local dynamic in-network route adaptation by individual MAs to design optimal MIP solutions for WSNs.