Optimal sensor deployment in internet of things based wireless sensor network for irrigation management system

Abstract

In recent years, several applications are found to be exploiting under Wireless Sensor Networks (WSNs), and more particularly civil and military applications. However, Target Coverage (TCOV) and Network Connectivity (NCON) are found to be the most crucial issues that have to be resolved to attain effective robust data communication and environmental sensing in WSN. This paper has made an attempt to propose a new effective sensor deployment model in the application of the irrigation management system in agriculture sector. The data logger (data collector) IoT devices are typically placed over the field, which does the communication one another. The main point of this design is the IoT device TCOV and NCON, and the real-time issue related to this design is the device mobility that consumes more power thereby minimizes the lifetime of network. The proposed model intends to solve the comprised NCON and TCOV with the aid of Euclidean Spanning Tree Model (ECST). Further, this paper introduces a new Fitness Interrelated Whale Optimization Algorithm (FI-WOA) that insisted in the minimum movement of mobile sensors over the network. This novel characteristic of sensor deployment model would create the effectual impacts in the irrigation management system. Further, the adopted ECST-WOA model is compared with conventional models and the results attained from the execution demonstrate the enhanced performance of the implemented technique.