Dynamic Systems and Applications 30 (2021) No. 11, 1698 - 1718 DYNAMIC CLUSTERING IN WIRELESS SENSOR NETWORKS USING HYBRID JELLYFISH OPTIMIZATION-LEACH PROTOCOL Gurupriya M 1 And A. Sumathi 2 1* Research Scholar, Faculty of Information and Communication Engineering, Adhiyamaan College of Engineering, Hosur, Tamilnadu, India. (Email:priyamano89@gmail.com) 2 Professor and Head, Department of Electronics and Communication Engineering, Adhiyamaan College of Engineering, Hosur, Tamilnadu, India. (Email:sumathi_2005@rediffmail.com) ABSTRACT. WSNs are usually equipped with a large number of sensor nodes that are designed and deployed to distribute and distribute the required data. Although sensors are sometimes deployed in remote environments, it is essential to identify a cluster head(CH) with an energy-efficient technique for transferring data in WSN. Cluster head selection algorithm is becoming a significant and challenging problem in WSN. This research presented a hybrid Leach with jellyfish algorithm for cluster head selection and an energy-efficient Heuristic Moth Search Algorithm (HMSA) to find efficient paths for transferring data to base station(BS).This technique avoids congestion with less guaranteed delays and maintain the energy efficiency of WSNs. The cluster head (CH) determines the residual energy on the basis of an optimum fit function assessed on the basis of strategic parameters such as distance between adjacent nodes and the centre. It can significantly reduce the number of dead nodesand reduce energy consumption. The HMSA method has been used to determine the best route for data transfer to the base station once the CH selection is complete. The entire WSN field is divided into several subdivisions, and each section chooses the designated target by measuring the transmission distance. The proposed approach has been assessed analytically, and results are compared with those related to conventional methods, namely HEED, FACER and EACBM, in terms of WSN Quality of service (QoS). The suggested approach demonstrated better performance in the number of live nodes and energy consumption than conventional algorithms. Keywords: Jellyfish algorithm, HMSA approach, Cluster head, Routing protocol, WSN. 1. INTRODUCTION WSN typically contains a vast number of energy-limited sensor nodes (SN). WSN captures various parameters evenly distributed over a specific region and transfers the data to the gateway (BS) to control and monitor the application. The sensor networks were extensively used for surveillance applications, defense, intelligence, public health, etc. Since WSNs are frequently used in hazardous environments, it is difficult to charge or replace SN batteries. Manual network management is also quite difficult in the implementation of WSN. To address this problem, the effective usage of rechargeable batteries by SNs will be seen as a specified aim while experts are designing protocols and hardware architectures [1]. WSN is a set of multiple sensor nodes (SNs) distributed in a specific region. The node of the sensor has a continuous power supply. In general, the sensor is critical, and the periodic replacement of these batteries randomly selected in a limited environment is not carried out. SN can only be relieved until the battery is running out. Battery life can be improved by allowing efficient use of resources for the processing of various tasks. The first WSN nodes that die prematurely due to energy depletion cause a grid problem [2]. In general, the WSN node uses more power during data transmission than processing and sensing [3]. Some techniques have developed communication with several hopes to reduce the distance traveled [5, 6]. Several routing protocols have been Received JUL 9, 2021 ISSN1056-2176(Print); ISSN 2693-5295 (online) www.dynamicpublishers.com; $15.00 ©Dynamic Publishers, Inc. www.dynamicpublishers.org; https://doi.org/10.46719/dsa202130.11.02