Underwater Wireless Sensor Network Layer Design for Reef Restoration

Authors: T. T. Manikandan, Rajeev Sukumaran

Abstract:

Coral Reefs are very important for the majority of marine ecosystems. But, such vital species are under major threat due to the factors such as ocean acidification, overfishing, and coral bleaching. To conserve the coral reefs, reef restoration activities are carried out across the world. After reef restoration, various parameters have to be monitored in order to ensure the overall effectiveness of the reef restoration. Underwater Wireless Sensor Network (UWSN) based  monitoring is widely adopted for such long monitoring activities. Since monitoring of coral reef restoration activities is time sensitive, the QoS guarantee offered by the network with respect to delay is vital. So this research focuses on the analytical modeling of network layer delay using Stochastic Network Calculus (SNC). The core focus of the proposed model will be on the analysis of stochastic dependencies between the network flow and deriving the stochastic delay bounds for the flows that traverse in tandem in UWSNs. The derived analytical bounds are evaluated for their effectiveness using discrete event simulations.

Keywords: Coral Reef Restoration, SNC, SFA, PMOO, Tandem of Queues, Delay Bound.

References:

[1] C.-S. Chang, Performance guarantees in communication networks. Springer Science & Business Media, 2000.
[2] M. Fidler, “An end-to-end probabilistic network calculus with moment generating functions,” in 200614th IEEE International Workshop on Quality of Service. IEEE, 2006, pp. 261–270.
[3] F. Ciucu and J. Schmitt, “Perspectives on network calculus: no free lunch, but still good value,” in Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication, 2012, pp. 311–322.
[4] H. Wang, F. Ciucu, and J. Schmitt, “A leftover service curve approach to analyze demultiplexing in queueing networks,” in 6th International ICST Conference on Performance Evaluation Methodologies and Tools. IEEE, 2012, pp. 168–177.
[5] Y. Jiang, Y. Liu et al., Stochastic network calculus. Springer, 2008, vol. 1.
[6] Y. Jiang, “Stochastic service curve and delay bound analysis: A single node case,” in Proceedings of the 2013 25th International Teletraffic Congress (ITC). IEEE, 2013, pp. 1–9.