PROGRESSIVE NODE DEPLOYMENT AND HYPER-CLUSTER FORMATION FOR INFORMATION PROCESSING IN WIRELESS SENSOR NETWORK

Abstract

Wireless Sensor Networks (WSNs) consist of thousands of tiny nodes having the capability of sensing, computation, and wireless communications. Many routing, power management, and data issemination protocols have been specifically designed for WSNs where energy consumption is an essential design issues. Many routing, power management, and data dissemination protocols have been specifically designed for WSNs where energy consumption is an essential design issues. Utility of wireless devices is that they can be used anywhere at any time. In WSN sensor nodes are deployed to sense the data but these sensor nodes have limited recourses and that is why WSN is a resource constraint network. In order to save resources and energy, data must be aggregated, and avoid amounts of traffic in the network. . Since wireless sensor network protocols are application specific, so the focus has been given to the routing protocols that might differ depending on the application and network architecture. The objective of data aggregation is to eliminate redundant data transmission and to enhance the life time of energy in wireless sensor network. Efficient clustering schemes are beneficial for data aggregation process. Thus, in this paper we propose new schemes for clustering with respect cluster head selection to attain energy efficiency and to extend the lifetime of WSN. The process for node deployment is Network formation, Region Division, Number of Node calculation, Number of dead node calculation, Coverage area calculation, Probability calculations for regions. And we also process the Clustering Concept to increase the efficiency of the network. We employed to increase the Quality of service parameters.