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Compared to conventional Wireless Sensor Networks (WSNs) that are operated based on the client-server computing model, Mobile Agent (MA) systems provide new capabilities for energy-efficient data dissemination by flexibly planning its itinerary for facilitating agent based data collection and aggregation. It has been known that finding the optimal itinerary is NP-hard and is still an open area of research. In this paper, the authors consider the impact of both data aggregation and energy-efficiency in sensor networks itinerary selection; they propose an Itinerary Energy Minimum for First-source-selection (IEMF) algorithm, as well as the Itinerary Energy Minimum Algorithm (IEMA), the iterative version of IEMF.
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