of Pharmaceutical , Biological and Chemical Sciences Data Fusion : An Energy Efficient Perspective for Device - To - Device ( D 2 D )

Device-to-Device (D2D) communication enhances user experience and resource utilization in any communication networks. D2D communication consumes high energy when operated on mobile phones, sensor nodes etc. As sensor nodes becomes the part of power constrained devices, energy efficiency becomes a challenge in D2D communication protocols. This paper focuses on increasing the energy efficiency and improving the throughput of D2D communication by using Data Fusion technique in sensor nodes. First, it works with tree based clustering technique to form minimum spanning tree which results in the nodes that communicate only with its neighbours in the network. Secondly, it adopts a methodology for selecting the cluster head (CH). The selection of CH is done on the basis of the unconsumed energy of each sensor nodes within each clusters after the completion of every round. So cluster head changes dynamically after every round which ensures that there will not be total nodal energy dissipation for the node that is acting as a cluster head. Data fusion algorithm focuses on merging two or more data packets into a packet of small size using Dempster-Shafer Theory (DST). The simulation results provided at the end of the paper concludes that the energy efficiency and throughput of devices using Data fusion is better than Low-Energy Adaptive Clustering Hierarchy (LEACH) and Power-Efficient Gathering in Sensor Information System (PEGASIS).