His main research interest is to develop clustering and routing algorithms for wireless sensor networks. Sensor nodes are getting smaller in size and smarter in functionality. Wireless sensors networks wsns are traditionally composed of large number of lowcost and tiny homogenous sensors nodes connected through a wireless. Energyefficient clustering in wireless sensor networks springerlink. An example for the former category is a weather monitoring sensor network that measures temperature, moisture, etc. Various clustering techniques in wireless sensor network. Modern clustering techniques in wireless sensor networks. Energy management in wireless sensor networks discusses this unavoidable issue in the application of wireless sensor networks wsn. A new approach for clustering in wireless sensors networks based. Wireless sensor networks wsn are one of the significant technologies due to their diverse applications such as health care monitoring, smart phones, military.
Cluster head, hierarchical routing, wireless sensor network, into clusters. Advancement of microelectromechanical systems mems and wireless networking has led to a sort of revolution in the development of sensor technology. He has contributed 14 research papers in the field of wireless sensor networks. Energy management in wireless sensor networks sciencedirect. Clustering in wireless sensor networks chapter may 2019. Clustering techniques are required so that sensor networks can. Energy constraint is the most critical problem in wireless sensor networks. Clustering and routing algorithms for wireless sensor.
This document describes the various clustering techniques used in wireless sensor networks. The popularity of wsn has garnered great heights once its applications had reached diverse fields like military to civilian domains. Kmeans clustering in wireless sensor networks request pdf. Part of the lecture notes in computer science book series lncs, volume 4864. Research on clustering strategy for wireless sensor network. Energy efficient clustering in wireless sensor networks ieee xplore. However, the available clustering algorithms do not efficiently consider the geographical information of nodes in clusterhead election. Wireless sensor networks have many restriction compa red to adhoc networks in terms of its sensor nodes capability of memory storage, processing. Each of these sensors generally includes one or more sensing units. Generally, wireless sensor networks are employed for two purposes. How we measure reads a read is counted each time someone views a publication summary such as the title, abstract. Clustering in wireless sensor networks request pdf. Wiley also publishes its books in a variety of electronic formats. Event based clustering in wireless sensor networks.
Each node that i introduction a wireless sensor networks wsn form a subset of adhoc networks. The decision of which nodes are the cluster heads chs greatly affects the network performance. Pdf modern clustering techniques in wireless sensor networks. Energyefficient clustering in wireless sensor networks. The centralized clustering algorithms rely on a sink or base station bs to select the chs. He acted as referees in many reputed international journals including ad hoc networks, telecommunication systems, etc. Hybrid energy efficient distributed clustering heed proposes a methodology which takes into account residual energy of sensor nodes and intracluster communication costs while making selection of cluster heads in multi hop sensor networks 7. Wireless sensor networks are having vast applications in all fields which utilize sensor nodes. Part of the lecture notes in computer science book series lncs, volume 5574. Energy efficient hierarchical clustering approaches in wireless.