Integrative Framework for Disaster Surveillance in Wireless Sensor Networks
K. Malarkodi, Bhaskarrao Yakkala, Garidepalli Revathi, S. P. Raja, K. Ramesh, Ammal Dhanalakshmi · 2024
Monitoring disasters is one of WSNs' most important duties., especially in swiftly reporting earthquake data, a pivotal aspect of disaster surveillance. In our proposed model, we focus on leveraging Wireless Sensor Networks (WSNs) for preemptive disaster detection. Our discourse delves into the foundational architecture of WSNs and elucidates their potential role in effective disaster management strategies. There are two phases to this plan: setup and steady-state. During the setup phase, a clustering strategy was suggested for heterogeneous networks. Operating in duty cycle mode during steady-state, the proposed MAC utilizes a virtual token ring among ordinary nodes, enabling simultaneous polling of all superior nodes, while alert transmissions employ a low-power listening (LP) and shortened preamble approach during the sleep state, ensuring efficient and timely data delivery. Three different sorts of data requirements can be simultaneously satisfied by the suggested system in disaster-monitoring applications. By constructing a MAC model that is suggested utilizing embedded Markov chains, it was possible to ascertain average upper bound of the frame delay, average cycle time, and average queue length. Through the use of simulations run in a variety of conditions, the clustering technique outperformed the alternatives.