Cooperative and hybrid energy efficient schemE for wireless sensor networks

• Published in: International journal of computers & applications Vol. 43; no. 8; pp. 750 - 763
• Main Authors: Iabbassen, Dalila, Moussaoui, Samira
• Format: Journal Article
• Language: English
• Published: Calgary Taylor & Francis 14.09.2021; Taylor & Francis Ltd
• Subjects: Agents (artificial intelligence); Algorithms; Cheese; data aggregation; data collection; data dissemination; data fusion; data gathering; multiple mobile agents; Sensors; virtual sink; Wireless networks; Wireless sensor networks; WSN
• ISSN: 1206-212X; 1925-7074
• DOI: 10.1080/1206212X.2019.1609648

Widespread multiple mobile agents (MAs) algorithms for wireless sensor networks use MAs itineraries starting and returning back to the sink node. Furthermore, each MA must carry the processing code to collect the sensory data and go back to the sink with the accumulated data. However, these assumptions increase the number of MA's migration hops, which consequently consumes more energy and time. To overcome this problem, this paper proposes a Cooperative and Hybrid Energy Efficient SchemE for wireless sensor networks (CHEESE) that aims to soften the substantial increase in energy and time cost, used in the data transporting process. To do this, the sink node of the proposed approach 'CHEESE' sends only one main MA to the target area in the network. Then this main MA, will be hosted by a virtual sink in the target area, which will generate multiple MAs to collect and aggregate data. By the end of all MAs processes, the virtual sink gathers all the MAs data, aggregates and fuses them to send only the pertinent information to the sink. Moreover, CHEESE uses light MAs itineraries by browsing only a part of source nodes. CHEESE simulation results have effectively confirmed its efficiency in many scenarios.