International Research Journal of Engineering and Technology (IRJET) Volume: 13 Issue: 08 | Aug 2026
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e-ISSN: 2395-0056 p-ISSN: 2395-0072
CLUSTER BASED K-MEDOIDS APPROACH FOR IMPROVEMENT OF NETWORK LIFE TIME IN WSN V. Ramesh kumar1, Dr.S.Manikandan2 1Ph.D Research Scholar, Department of Computer Science, Karuppanan Mariappan College, Muthur-638105. 2Assistant Professor, Department of Computer Science, Karuppanan Mariappan College, Muthur-638105
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----------------------------------------------------------------------------***----------------------------------------------------------------------------underwater habitat monitoring, disaster management, Abstract: Due to shortage of power source, energy is military surveillance, forest fire-tracking, security the significant concern part in Wireless Sensor Systems. surveillance, etc. Rapid developments in wireless Wireless Sensor Networks(WSNs) are currently used in communications system, low-power electronics, numerous kinds of WSN simulators have been established battery technology, and power harvesting abilities have to visually illustrate the coverage, energy consumption facilitated the improvement of low-cost WSNs [6]. The status and expected lifetime of WSN sensors. Most of the routing methods selection is a vital problem for the Researchers have proposed and develop routing algorithm effective delivery of the packets to their target point. to increase the network lifetime. As cluster heads chosen by Furthermore, in such networks, the applied routing nodes, gathers the data from their individual groups and scheme should confirm the lowest of the energy exchanges the collected data to the mobile sink as proposed consumption and hence extension of the lifetime of in the heuristic tour planning technique. In this research, the network [7]. From few years, researchers have the mobile sink starts the collection of data irregularly demonstrated that the clustering is an effective from the initial site, which is stored in cluster heads in an approach in expanding lifetime and reduces energy individual hop extend and at last returns to the initial site. consumption of Wireless Sensor Networks. In each In existing approaches, scheduling time for data delivery is cluster, there are several nodes, among them one will less. The proposed system helps in mitigation of travelling be act as a cluster head (CH) and others will be time when compared to existing approaches. To find the numerous cluster members. Cluster members sense effectiveness of proposed algorithm, NS2 (Network and collects the information from surrounding simulator-2) software is used for simulation verification. environment and forward the information to cluster head (CH). Among them clustering is the best Keywords: Wireless Sensor Networks, Cluster, Mobile technique and it is well known for accomplishing sink. energy effectiveness in WSNsMoreover, CHs function as fusion point for data aggregation, so that the actual data 1. INTRODUCTION transferred to the BS is abridged [8]. An existing and frequently used algorithm is K-means algorithm in WSN. Wireless Sensor Networks have been introduced in many The main limitation of this K-means algorithm is random domains including health care systems, natural initial centroid selection. To improve K-means algorithm, conditions monitoring, military applications, and others a Midpoint method in initial centroid selection is used as Internet of Things [1-3, 4]. The most key issue for Clustered WSNs also utilizes single-hop technique and wireless sensor networks is energy efficiency. However, multi-hop technique for communication between the the supply of power is limited and hard to replace for nodes. Therefore clustering and multi-hop sensor nodes. And also, nodes close to the base station communication are the effective tools to make expend more energy in contrasted and different nodes network more energy efficient. By using cluster since the nodes transfer the information received by algorithm and centralized midpoint method, k-means sensor nodes stay away from the sink. Henceforth, the algorithm is enhanced and cluster head selection is also information received by different sensors can't be improved. exchanged to the sink once these sensors close to the sink fail. The complete setup ends up early at that particular point, even though a large part of the nodes can even now have an expected measure of energy. WSNs equipped with a group of various sensor nodes with limited sensing, computing and communication abilities. These sensors nodes are set up over a big areawith one or more than one Base Station [5]. Each node contains a detecting part, a processing part, a transmission part, a battery, and a power harvester. WSN has extensive application possibilities, which includes environmental monitoring, health monitoring, terrestrial and
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2. RELATED WORKS Many researchers have proposed various methods to improve energy efficiency of routing protocols in MANET. Some of these are mentioned here. In [9] author modifies DSR algorithm to improve network lifetime. In this the author proposed an efficient DSR (EDSR) which minimizes energy consumption per packet, maximizes network lifetime and minimize maximum node cost. This is done by selecting energy
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