SNC Based UWSN Network Layer Design for Monitoring Coral Bleach

Abstract

Coral reefs around the world are under serious threat to their survival and have already led to degradation and destruction in many places. To preserve coral reefs and the underwater ecosystems dependent on them, various measures are being taken across the world. Monitoring of coral bleach activities and data collection from the location of coral reefs plays a vital role in coral reef recovery measures. For more precise information about the coral reefs, infield monitoring is preferred over other monitoring techniques such as satellite imaging. Underwater Wireless Sensor Networks (UWSN) play an important role in such infield monitoring of coral bleaching events. Once the information is collected from the underwater environment the way it is communicated to the offshore data center is very much vital so that the corresponding measures can be taken on time. This research focuses on the analytical modeling of network layer communication using Stochastic Network Calculus (SNC). With SNC we can represent a communication network in convolution form using which the tight end-to-end delay bounds of the network layer communication can be derived. The data flow in UWSNs is subject to transformations as they move towards the destination. This kind of data flow transformation can be analytically represented using scaling elements but it is limited to the case of fixed-sized data packets. But in reality, the packet size will be variable. So, in this research, we have designed an SNC-based analytical model of UWSN network layer communication for coral bleach monitoring application. The end-to-end delay is analytically derived for network layer packets of variable size subject to transformation using SNC for effective network layer communication in coral bleach monitoring application and the derived delay bounds are evaluated with discrete event simulations.