At present, the most significant point in the model of Wireless Sensor Networks (WSNs) is the network connectivity and sensor coverage point. Moreover, the important convenient problem in modeling the necessary WSN is the mobility of mobile sensors that utilizes high power thus minimizes the lifetime of the network considerably. To evade these issues, the Mobile Sensor Deployment (MSD) issue is examined, which consists of target coverage and network connectivity is solved by Euclidean Spanning Tree Model (ECST). Moreover, an Improved Salp Swarm Algorithm (ISSA) optimization algorithm is presented by attaining less movement of mobile sensors against the network. Moreover, the widespread experimentation analysis has presented the best hopeful solutions of Network Connectivity (NCON), to the MSD problem with less movement and presenting the enhanced lifespan of WSN. At last, the investigational outcomes examine the movement distance exhibited by the proposed method and that is compared with the conventional algorithms such as ECST-Particle Swarm Optimization (PSO), and ECST- Artificial Bee Colony (ABC).
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