Development Of A Modified Energy-efficient Clustering With Splitting And Merging For Wireless Sensor Networks Using Cluster-head Handover Mechanism

Energy efficiency is one of the most important challenges for Wireless Sensor Networks(WSNs). This is due to the fact that sensor nodes have limited energy capacity. Therefore, theenergy of sensor nodes has to be efficiently managed to provide longer lifetime for the network.To reduce energy consumption in WSNs, a Modified Energy Efficient Clustering with Splittingand Merging (𝑚𝐸𝐸𝐶𝑆𝑀) for WSNs using Cluster-Head Handover Mechanism wasimplemented in this research. This model used information of the residual energy of sensornodes and a suitable Cluster Head (CH) handover threshold to minimize energy consumptionin the network. A backup CH was incorporated into the model to take over the responsibilitiesof the CH once the CH handover threshold is reached. The energy consumed by node’samplifier was varied with its transmission distance. This work was carried out using MATLABR2013a and the performance of the modified model was validated in terms of network lifetimeand residual energy ratio with an existing energy reduction technique in a self-organizedclustering of WSNs. Average improvements of 7.5% and 50.7% were achieved for the networklifetime and residual energy ratio respectively which indicate a significant reduction in energyconsumption of the network nodes. Also, scalability and robustness test were carried out withrespect to network lifetime by randomly adding and removing a number of nodes from thenetwork. Average improvements of 7.8%, and 10.3% were achieved for scalability androbustness test respectively. The results of this work showed that 𝑚𝐸𝐸𝐶𝑆𝑀 has a better residualenergy ratio, scalability, robustness and a longer network lifetime when compared with anexisting energy reduction technique in a self-organized clustering of WSNs

Get Full Work

Report copyright infringement or plagiarism