Investigations on efficient data routing technique using mobile nodes in wireless networks

Abstract

The Applications of wireless sensing devices is increasing day-by-day newlinein all areas of human life throughout the world. Most of these devices are based newlineon small sensors that automatically collect information from the surrounding newlineenvironment and then transmit it to the target without any human intervention. newlineAlso, it is utilized in many applications such as urban sensing, volcano fire newlinemonitoring, military, agriculture, monitoring, traffic and medical. These tiny newlinesensors are highly energy constrained due to their limited battery, storage, newlineprocessing power and communication capacity. Energy consumption and newlinenetwork life time are two major parameter in Wireless sensing networks. The newlinenetwork lifetime is greatly affected as the size of the network and the data to be newlinetransmitted increases, so the battery power and longevity are likely to decrease. newlineSo the entire communication system will collapse and the quality of the service newlineparameters will be affected. To avoid this problem, in this thesis energy efficient newlinedata transmission in Wireless networks is proposed. To achieve this, the newlineproposed concept is discussed in the three contributions. newlineIn the first contribution, an energy efficient data gathering using newlineoptimal minimum coverage spanning tree in WSN is developed. This newlinecontribution consists of three modules namely, cluster formation using Low- newlineEnergy Adaptive Clustering Hierarchy (LEACH) protocol, Cluster Head (CH) newlineselection, and path selection using Optimal Minimum Covering Spanning Tree newline(OMST) algorithm. To reduce the complexity and energy consumption, initially newlinesensor nodes are clustered using LEACH protocol. After the clustering process, newlineCHs are selected. The selected CHs are gathered the information from cluster newlinemembers. Then, the selected CHs are transferring the gathered information to the newlinedestination through mobile nodes. To reduce the delay in data transmission, the newlineoptimal paths are selected using particle gene swarm (PGS) model. newline