Improvement of low energy adaptive cluster hierarchy protocol using information processing for WSN
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 8
Abstract
Wireless Sensor networks (WSNs) are special type of adhoc networks which makes use of sensors (also known as motes) for gathering information. The data collected by each sensor is communicated through the network to a single processing center that uses all reported data to determine characteristics of the environment or detect an event. Routing is a process of sending the data from source to destination with the help of the nodes. Routing in sensor networks requires special attention because nodes in this network have limited energy supply. There are three types of routing in the WSNs. In flat networks, each node typically plays the same role and sensor nodes collaborate to perform the sensing task . Hierarchical Routing on the other hand has higher-energy nodes that can be used to process and send the information, while low-energy nodes can be used to perform the sensing in the proximity of the target, Location Based Routing: In this kind of routing, sensor nodes are addressed by means of their locations. This paper discusses the problem in one of the existing routing protocol and suggests an improvement to deal with the problem. The Low Energy Adaptive Clustering Hierarchical (LEACH) protocol performs information gathering & processing with the help of cluster heads. In the current approach, a cluster which has once acted as a cluster participates in the election again & again, which is not feasible in the given spectrum of limited energy. The work proposes a solution to the problem by adding the concept of information processing to it by eliminating the redundant data, old data and repeated data. Also there is not any solution when only one node left in the cluster and elected as CH result in the wasting of energy.
Authors and Affiliations
Prof. Ajit Singh, Rajani Bala
Keywords
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