Version 1
: Received: 25 July 2018 / Approved: 26 July 2018 / Online: 26 July 2018 (08:48:35 CEST)
How to cite:
Bendjima, M.; Feham, M. Intelligent Communication in Wireless Sensor Network. Preprints.org2018, 2018070507. https://doi.org/10.20944/preprints201807.0507.v1
Bendjima, M.; Feham, M. Intelligent Communication in Wireless Sensor Network. Preprints.org 2018, 2018070507. https://doi.org/10.20944/preprints201807.0507.v1
Cite as:
Bendjima, M.; Feham, M. Intelligent Communication in Wireless Sensor Network. Preprints.org2018, 2018070507. https://doi.org/10.20944/preprints201807.0507.v1
Bendjima, M.; Feham, M. Intelligent Communication in Wireless Sensor Network. Preprints.org 2018, 2018070507. https://doi.org/10.20944/preprints201807.0507.v1
Abstract
Wireless Sensor Networks (WSN) is designed to collect information across a large number of limited battery sensor nodes. Therefore, it is important to minimize the energy consumption of each node, which leads to the extension of the network life. Our goal is to design an intelligent WSN that collects as much information as possible to process it intelligently. To achieve this goal, an agent has been migrated to each node in order to process the information and to cooperate with these neighboring nodes while Mobile Agents (MA) can be used to reduce information between nodes and send those 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 nodes of the network have been grouped into sector. As for each MA, we have established an optimal itinerary, consuming a minimum amount of energy with the data aggregation efficiency in a minimum time. Successive simulations in large scale wireless sensor networks through the SINALGO simulator show the performance of our proposal, in terms of energy consumption and package delivery rate.
Keywords
wireless sensor network; agent cooperation; mobile agent; itinerary; multi agent system; communication
Subject
Computer Science and Mathematics, Computer Science
Copyright:
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.
