A suggested angles-based sensors deployment algorithm to develop the coverages in WSN

Wireless sensor networks (WSNs) today are widely used in various military and civilian applications and in the construction of a new concept called Internet of thinks (IoT), so it has been given great importance especially in recent years. In most WSNs applications sensors are deploying in random manner. Such randomness deployment produces trivial control on the network with no coverage guarantee and may achieve weakly connected network topology. Therefore, precise location can be often pursued for different nominated applications with the aim of configuring the topology of the network to reach to the requirements of preferred application. Most of the important “WSN” optimization techniques are to place the sensors in a deterministic manner to meet the required performance aims. In this article, we suggest a new deployment technique for enhancing the coverage, connectivity and reliability of WSN. The principle idea of this technique is utilizing the angle between sensor nodes and its neighboring nodes. It aims to assign an optimal position for each sensor before the final deployment. Such approach can helps in improving the network coverage and connectivity. The Simulation results in Net logo were compared with the Glowworm Swarm Optimization (GSO) approach results. Our results show that this deployment approach can provide high coverage, and good connectivity and reliability.