Topology Control in wireless sensor networks

Abstract

Wireless sensor networks are the networks in which thousand of sensor nodes are deployed randomly. Sensor nodes has ability to process, gather and communicate the data. Sensor nodes are generally deployed in an area where it is not feasible for the humans to approach. As wireless nodes have limited battery capacity and if these nodes have additional mobility then there is high probability that the links in network will break very frequently this leads to degradation of the network performance. Topology control is one of the basic technique which arrange the nodes in effective manner either by distributing the nodes in specific regions, by changing transmission range or with any other method in order to reduce complexity of network and make communication easier. Moreover, fault can occur in the network at any time due to energy drain, mobility of nodes or due to collision of nodes in network. There is a requirement of topology control, specially for mobile networks so that faults don’t occur in the network and communication can continue uninterrupted. If the network is not fault tolerant then it increases the packet loss as well as the energy consumption of the nodes and thereby reduces the throughput of the network. Moreover, if the node have additional mobility then there is high probability that the links in network will break very frequently and this leads to degradation of network performance. So, our research work in this thesis is focused on reducing the number of faults so that the packet delivery ratio can be increased and also to reduce the energy consumption of the node by reducing probability of link breakage. Topology control is one of the basic technique which arrange the nodes in an effective manner either by distributing the nodes in specific regions, by changing their transmission range or with any other method in order to reduce complexity of network and make communication easier. We have proposed an algorithm that select a link in way that reduces the energy consumption of node. In addition to the above research we have also used back propagation algorithm to improve the performance of network. This algorithm is mainly used in neural networks and it helps in reducing the error in topology control and thereby makes the network fault free and increases the network efficiency.