VPBC: A Varying Probability-Based Clustering for Energy Enhancement in WSN

Nowadays, the performance of wireless sensor network (WSN) in a variety of applications plays a pivotal role in the research field and variety of parameters is used for its functioning. While designing WSN, some issues may arise out of which one issue is

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Abstract Nowadays, the performance of wireless sensor network (WSN) in a variety of applications plays a pivotal role in the research field and variety of parameters is used for its functioning. While designing WSN, some issues may arise out of which one issue is energy consumption. Energy efficiency is a serious issue for distributed WSNs deployed in varied environments. The energy efficient cluster-based protocols play a vital role for energy saving in hierarchical WSN. In modelling, probability plays its important role. While selecting the CH at the beginning of the network, one important parameter used is distance. The probability definition is different for different approaches. Most of the protocols consider probability of all the nodes to become CH at the beginning of the network is fixed but the present paper is an approach to consider varying probability of the nodes to become CH at the beginning on the basis of distance from BS. These results show that the present approach has improved performance when compared to existing algorithms with their results. Simulations are carried out to demonstrate and compare the performance of the proposed algorithms.







Keywords Clustering Cluster heads Non-cluster heads Hierarchical routing Energy efficiency Variable probability WSN







Shaveta Gupta (&)  Vishal Puri Baba Ghulam Shah Badshah University, Rajouri, J&K, India e-mail: [email protected] Vishal Puri e-mail: [email protected] Vinay Bhatia Baddi University of Emerging Sciences and Technology, Baddi, HP, India e-mail: [email protected] © Springer Science+Business Media Singapore 2017 R. Singh and S. Choudhury (eds.), Proceeding of International Conference on Intelligent Communication, Control and Devices, Advances in Intelligent Systems and Computing 479, DOI 10.1007/978-981-10-1708-7_92

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1 Introduction Wireless networks have gained tremendous popularity in deployment as well as usage. Despite several limitations such as vulnerability to various attacks, these networks have gained research thrust owing to several advantages such as mobility and ease of installation [1, 2]. Wireless sensor network (WSN) is the network that has many applications in many practical situations. With the advancement and utility of practical applications of WSN, it becomes very important for researchers to investigate the environmental conditions of remote and esoteric regions. Wireless is an advancement of science and technology that enables us to send the signals to one or more devices without using wired connections and reduces the complexity of the system. A WSN is a spatially deployed network to monitor the surrounding or environmental conditions and then pass the collected data to the main location called BS through the network. In recent or advanced networks information transfer is bi-directional, which are also used to control the activity of the sensors. WSN comprises of a collection of hundreds or thousands of nodes connected to one another and used to sense the envi