A Dynamic Wireless Sensor Network Deployment Algorithm for Emergency Communications

The Internet of Things (IoT) connects a huge number of IoT devices, including sensors, actuators, computing nodes, etc. Those IoT devices communicate with each other by using different communication techniques. Generally, LTE, 5G, and WiFi are involved in IoT to support communication. However, it needs considerable communication infrastructures to support wireless communication. An obvious issue is how to create a communication network in some regions that have less communication support. Wireless Sensor Network (WSN) is a kind of wireless ad hoc network, which organizes a huge number of wireless sensors to create a self-organized wireless network. Therefore, the WSN is a potential approach to providing communication in those regions. Since WSN is highly dynamic, how to create the wireless network to provide optimal coverage rate is still open. In this article, we propose a dynamic wireless sensor deployment scenarios that provide optimal coverage rate in a certain region. Our model proposes a coverage rate based on possible disaster scenarios for communication between Base Stations and UAVs. We optimize the Particle Swarm Optimization (PSO) algorithm and find the maximum coverage rate.