Mobile agent itinerary planning using analytic hierarchy process for wireless sensor networks

TLDR: This paper presents a centralized MA itinerary planning approach using Analytic Hierarchy Process (AHP), and results exhibit that the proposed approach lowers the task duration and energy consumption of the network.

Abstract: Mobile Agent (MA) based computing paradigm offers many advantages over the existing and widely used client/server computing paradigm in wireless sensor networks (WSN). MA performs the task of data processing and data aggregation at the nodes rather than at the sink, thus, eliminating the redundancy in the sensory data. One of the most important issues in MA based paradigm is planning of an itinerary (route) for MA traversal. In this paper, we present a centralized MA itinerary planning approach using Analytic Hierarchy Process (AHP). The remaining energy of the node, migration cost and information gain are taken into consideration for the selection of subsequent node of the itinerary. AHP is used for determining the weights to each of the above parameter, thus, simplifying the task of decision making. Simulation results exhibit that the proposed approach lowers the task duration and energy consumption of the network.