Abstract
Currently, the majority of research in the area of wireless sensor networks (WSNs) is directed towards optimizing energy use during itinerary planning by mobile agents (MAs). The route taken by the MA when migrating can get a significant effect on energy consumption and the lifespan of the network. Conversely, finding an ideal arrangement of Source Nodes (SNs) for mobile agents to visit could be a problematic issue. It is within this framework that this work focused on solving certain problems related to itinerary planning based on a multimobile agent (MMA) strategy in networks. The objective of our research was to increase the lifespan of sensor networks and to diminish the length of the data collection task. In order to achieve our objective, we proposed a new approach in WSNs, which took into consideration the criterion of an appropriate number of MAs, the criterion of the appropriate grouping of SNs, and finally the criterion of the optimal itinerary followed by each MA to visit all its SNs. Thus, we suggested an approach that may be classified as a centralized planning model where the itinerary schedule is entirely shaped by the base station (sink) which, unlike other approaches, is no longer constrained by energy consumption. A series of simulations to measure the performance of the new planning process was also carried out.
Highlights
A wireless sensor network (WSN) is made up of a set of nodes capable of collecting data within a monitored environment and transmitting them to a base station via a wireless medium [1]
In order to reveal the performance of our DSNG (Directional Source Node Grouping for multiagent itinerary planning) approach in wireless sensor networks, we compared it with two approaches with which very good results were obtained concerning the criteria of growing the lifetime of the sensor networks and reducing the period of the data collection task according to the literature
We proposed a new approach called DSNG (Directional Source Node Grouping for multiagent itinerary planning), in order to minimize energy consumption and decrease the task duration of a WSN
Summary
A wireless sensor network (WSN) is made up of a set of nodes (sensors) capable of collecting data within a monitored environment and transmitting them to a base station (sink) via a wireless medium [1]. A sensor network is often typified by dense use in large-scale environments It is mainly limited in terms of resources (deficient storage and processing capacities), because it is usually powered by replaceable batteries [2,3,4,5,6,7]. The use of MA to deploy dynamically new applications in WSN is proving to be an effective method for issues related to energy consumption and network life. They are principally practical in facilitating the fusion and efficient dissemination of information in node networks [1, 2].
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