Improved continuous enhancement routing solution for energy-aware data aggregation in wireless sensor networks

Edson Ticona-Zegarra, Rafael CS Schouery, Leandro A Villas and Flávio K Miyazawa

International Journal of Distributed Sensor Networks, 2018, vol. 14, issue 5, 1550147718774681

Abstract: Wireless sensor networks consist of hundreds or thousands of nodes with limited energy resources, and thus, efficient use of energy is necessary for these networks. Given that transmissions are the most energy-demanding operation, routing algorithms should consider efficient use of transmissions in their designs in order to extend the network lifetime. To tackle these challenges, a centralized algorithm is proposed, called improved continuous enhancement routing (ICER), for computing routing trees of refined quality, based on data aggregation while being aware of the battery energy state. Comparisons between ICER and other known solutions in the literature are performed. Our experiments show that ICER is able to ensure, on average, the survival of 99.6% and the connectivity of 99.3% of the network nodes compared to 90.2% and 72.4% in relation to the best-compared algorithm. The obtained results show that ICER significantly extends the network lifetime while maintaining the quality of the routing tree.

Keywords: Genetic algorithm; in-network aggregation; wireless sensor networks; routing algorithm; Steiner tree problem; network lifetime (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:14:y:2018:i:5:p:1550147718774681

DOI: 10.1177/1550147718774681

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