Certain investigations on clustering and energy harvesting algorithm with beamforming for software defined wireless sensor networks

Abstract

The Wireless Sensor Networks (WSN) is deployed with a large newlinenumber of Sensor Nodes (SN) either in a uniform or random manner to newlinemonitor physical or environmental conditions. Generally, to reduce the energy newlineconsumption of the WSN, the SN are grouped into clusters and the cluster newlinehead is elected to gather data from various nodes. However, these techniques newlineare implemented without considering the distance and coordinates of the SN. newlineSince the energy required for the data transmission is directly proportional to newlinedistance, these techniques consume more energy for the data transmission and newlinethe long distance communication between the SN in the WSN leads to a newlinereduction in the lifetime of the SN. Therefore, the energy efficient data newlinegathering for the densely distributed network is the challenge in the WSN. newlineHence, in this thesis efficient clustering and energy harvesting algorithms are newlineproposed to increase the lifetime of the network. A novel Energy Efficient Recursive Clustering and data Gathering in the WSN is proposed to reduce the data transmission distance between the SN and energy efficiently gather information in the network. In this scheme, the clusters are formed in a recursive manner to reduce communication newlinedistance between the SN in the WSN. The Cluster Administrator (CA) and newlineCluster Head (CH) are elected based on the maximum energy among the SN newlinein the clusters and zones to reduce the energy consumption of SN in the newlinenetwork. The localization algorithm based on Received Signal Strength newlineIndicator (RSSI) and multi hop routing are performed to reduce end-to-end newlinedelay in the network. The proposed clustering algorithm in the WSN is newlineanalyzed in terms of residual energy, throughput, end-to-end delay and newlinenumber of alive nodes by varying number of nodes and simulation time in the newlinenetwork. Software Defined Wireless Sensor Networks (SDWSN) is emerged newlineto overcome the problems inherent in the WSN. In SDWSN, the SN perform newlinethe forwarding task instead of making routing decisions, and broadcasting newlinemessages to neighbor nodes decreases the energy consumption of SN in the newlinenetwork compared to the WSN. newline newline