Minimum delay and maximum lifetime trade-off in underwater sensor networks

Yıldız H. U.

National Conference on Electrical, Electronics and Biomedical Engineering (ELECO), Bursa, Turkey, 30 November - 01 December 2018, pp.80-83

  • Publication Type: Conference Paper / Full Text
  • City: Bursa
  • Country: Turkey
  • Page Numbers: pp.80-83
  • TED University Affiliated: Yes


Underwater Sensor Networks (USNs) are exposed to a variety of challenges in the underwater channel, such as severe path loss, high ambient noise, and long propagation delay. Within these challenges, propagation delay (more generally, end-to-end delay) is the most limiting constraint for time-critical USN applications. In order to minimize the end-to-end delay, minimum hop routing methods should be used which enforce data packets to use long links for communications. However, this solution does not guarantee maximum network lifetime. On the other hand, data packets must be transmitted over short links to a central base station in a multi-hop manner for prolonging the network lifetime. Nevertheless, this solution increases the end-to-end delay. In this study, minimum end-to-end delay and maximum network lifetime trade-off is investigated for USNs. We propose two integer linear programming (ILP) models that consider the severe underwater channel conditions. Our results reveal that minimum end-to-end delay strategy yields up to 53.95% lesser lifetimes than maximum network lifetimes while increasing the minimum end-to-end delay at most by 48.18% provides maximum network lifetimes.