Routing design avoiding energy holes in underwater acoustic sensor networks. Issue 14 (11th February 2016)

• Record Type: Journal Article
• Authors: Zidi, Chaima; Bouabdallah, Fatma; Boutaba, Raouf
• Is Part Of: Wireless communications and mobile computing. Volume 16:Issue 14(2016)
• Page Start: 2035
• Page End: 2051
• Publication Date: 2016-02-11
• Subjects: underwater acoustic sensor networks -- routing -- load balance -- performance analysis -- energy conservation; Wireless communication systems -- Periodicals; Mobile communication systems -- Periodicals; 621.38205
• DOI: 10.1002/wcm.2666
• Languages: English
• ISSNs: 1530-8669

Abstract

Abstract: Interest in underwater acoustic sensor networks (UW‐ASNs) has rapidly increased with the desire to control the large portion of the world covered by oceans. Energy efficiency is one of the major concerns in UW‐ASNs due to the limited energy budget of the underwater sensor nodes. In this paper, we tackle the problem of energy holes in UW‐ASNs while taking into consideration the unique characteristics of the underwater channel. We prove that we can evenly distribute the transmission load among sensor nodes provided that sensors adjust their communication range when they send or forward the periodically generated data. In particular, we propose a balanced routing strategy along with the associated deployment pattern that meticulously determines the load weight for each possible next hop that leads to fair energy consumption among all underwater sensors. Consequently, the energy holes problem is overcome, and hence, the network lifetime is improved. To the best of our knowledge, this is the first work that addresses the energy hole problem in UW‐ASNs. Copyright © 2016 John Wiley & Sons, Ltd. Abstract : In this paper, we tackle the problem of energy holes in UW‐ASNs. We prove that we can evenly distribute the transmission load among sensor nodes provided that sensors adjust their communication range when they send or forward the periodically generated data. In particular, we propose a balanced routing strategy along with the associated deployment pattern that meticulously determines the load weight for each possible next hop that leads to fair energy consumption among all underwater sensors.