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Future Internet 2018, 10(9), 91; https://doi.org/10.3390/fi10090091

Intelligent Communication in Wireless Sensor Networks

STIC Laboratory, University of Tlemcen, P.O. Box 230, Chetouane, Tlemcen 13000, Algeria
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Received: 20 July 2018 / Accepted: 10 September 2018 / Published: 15 September 2018
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Abstract

Wireless sensor networks (WSN) are designed to collect information by means of a large number of energy-limited battery sensor nodes. Therefore, it is important to minimize the energy consumed by each sensor, in order to extend the network life. The goal of this work is to design an intelligent WSN that collects as much information as possible to process it intelligently. To achieve this goal, an agent is sent to each sensor in order to process the information and to cooperate with neighboring sensors while mobile agents (MA) can be used to reduce information shared between source nodes (SN) and send them to the base station (Sink). This work proposes to use communication architecture for wireless sensor networks based on the multi-agent system (MAS) to ensure optimal information collection. The collaboration of these agents generates a simple message that summarizes the important information in order to transmit it by a mobile agent. To reduce the size of the MA, the sensors of the network have been grouped into sectors. For each MA, we have established an optimal itinerary, consuming a minimum amount of energy with data aggregation efficiency in a minimum time. Successive simulations in large-scale wireless sensor networks through the SINALGO (published under a BSD license) simulator show the performance of the proposed method, in terms of energy consumption and package delivery rate. View Full-Text
Keywords: wireless sensor network; agent cooperation; mobile agent; itinerary; multi-agent system; source node; communication wireless sensor network; agent cooperation; mobile agent; itinerary; multi-agent system; source node; communication
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Bendjima, M.; Feham, M. Intelligent Communication in Wireless Sensor Networks. Future Internet 2018, 10, 91.

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