Universal Journal of Electrical and Electronic Engineering 6(5A): 1-7, 2019 http://www.hrpub.org DOI: 10.13189/ujeee.2019.061501 Improved Clustering Protocol to Balanced Energy Consumption in Heterogeneous Wireless Sensor Network Santosh Vishnu Purkar * , Rajkumar S. Deshpande Department of Electronics and Telecommunication, Savitribai Phule Pune University, India Received January 15, 2019; Revised December 18, 2019; Accepted December 24, 2019 Copyright©2019 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License Abstract Wireless Sensor Network (WSN) Scheme is a cost-effective approach to monitor the event remotely. However, the activity of WSN is totally dependent on the energy resource available with each and every node of the network. Thus to prolong the activity period of WSN, it is necessary to utilize the available energy systematically. This aim is well satisfied by the design of hierarchical clustering protocol. This article highlights the mechanism to balance the energy consumption (load balancing) inside WSN. Proposed protocol design follows energy aware heterogeneous network model and modified scheme of cluster head (CH) selection. Secondly, maintain the record for nodes utilized in the role of CH and its capability. Proposed approach explores energy utilization by rotating CH selection, and reduces the internal overheads in network management. Through this approach, we are able to improve the energy efficiency of WSN by clustering multilevel nodes. In this design, CH is selected based on node energy and relative distance attributes. Proposed protocol is simulated and validated with reference to energy based performance parameters. It’s been noted that proposed implementation outperforms the existing protocols in terms of stability period, residual energy, and lifetime of the network. Keywords HWSN, Propagation, Node Index, Multi-hop 1. Introduction Wireless sensor network is an effective approach to monitor the interesting event remotely [1]. There are different approaches proposed by researchers in the form of time driven, event driven and query driven approach [2-3]. But, all are working properly if sensor nodes are alive. Thus, it is necessary to utilize the available node energy effectively in collecting information. There are different approaches proposed by the designers to enhance the energy efficiency of WSN [1-3]. Energy efficiency of the WSN can be improved by adding heterogeneity nodes inside the network. Secondly, by assigning specific role to the sensor nodes based on their capability and position [1]. In spite of the above option by reducing overloading of the particular node during communication will be one of the possible option to enhance the energy efficiency of the deployed network. This indirectly improves the lifetime of each individual and finally the life of the network. This further enhances energy remains with the network. Main outcome of this is lifetime get extend to a better level. To satisfy this need best possible option is to follow design based on clustering approach with the accountability of varied energy nodes. As normally nodes utilize with equal energy level (homogeneous WSN), but at run time there is variation in energy level available with the nodes utilized in network. This unequal energy utilization inside the network observed as a network with different energy level nodes. Thus, design based on clustering approach with Heterogeneous WSN (HWSN) is found to be the best for handling real life situation. This motivates us to design the clustering protocol with HWSN to balance energy over the network. This hybrid design approach with HWSN enhances the energy utilization over the network to a better level as compared to existing design. Application areas of WSN are in surveillance, intelligent traffic system, pollution control and in habitat monitoring as presented in [1-3]. Latest application area improves the publicity of WSN to high level is Industry Internet of Things (IIOT or Industry Revolution fourth generation or I4.0). The prime objective of this design is to achieve load balancing over the network for long span of time. In this paper, we present a best possible approach to select CH, such that selected CH use minimum energy to communicate with BS. Selection of CH is very important in cluster design, as compared to other control activity. Thus