Improving Life of Self-Configuring Wireless Sensor Network using Clustering Mechanism

Abstract

Mobile Adhoc NETwork, popularly known as MANET, is one of the networks, which is dynamic in nature, due to the reason that the nodes are added and removed as per the need. Hence, the architecture of the network is changing continuously with reference to the addition or removal of the nodes. To acquire efficient functionality from the network, the network is set to configure automatically [7]. Another associated task in this dynamic network is the inclusion of new node to the network at any instance of time. Due to this the N/w size grows drastically, as a result of which, managing the nodes in the n/w becomes tedious and the dynamic behavior of the n/w becomes more critical [8]. In proposed and implemented work, I have designed an Intelligent Auto configuration (IAC) method in Mobile Adhoc NETworks, in which efficiency and reliability has improved significantly, compared to the traditional, Dynamic Address Allocation (DAA), in Mobile Adhoc networks. In this research work, the n/w is divided into small segments called clusters and each cluster is controlled by a Cluster Head (CH), which will be defined under multiple parameters including Connectivity vector, Stability vector, and Trust vector. In this network, the overload and under load conditions are managed with the help of Wireless Sensor network, reconfigured for a particular Cluster [9]. The overload is the condition, where, the
number of packets is beyond the capacity of network interface queue size and underload condition is that, the number of packets in the network is very less, so that, most of the time the network is idle. In the proposed work I have used Matlab for its implementation.