Novel Tree based Efficient Data Aggregation and Dissemination Protocol for IoT enabled Wireless Sensor Networks

Abstract

In recent past, the use of Internet of Things (IoT) enabled Wireless Sensor Networks (WSNs) is significantly increasing in wide range of real time applications like weather monitoring, farm monitoring, security monitoring, military etc. The sensor networks consist of tiny and small energy constrained device called sensor node. As the sensor nodes are energy constrained, short network lifetime is key research problem. The IoT enabled sensor networks may fail early due to energy expiration of sensor nodes. To improve the energy efficiency of such network, various solutions proposed by researchers such as clustering, energy efficient self-organization and deployment of sensor nodes, data aggregation, data dissemination, efficient MAC protocol etc. Data aggregation and dissemination is vital phase of IoT enabled WSNs on which the energy consumption is mainly depends. Thus the efficient design of data aggregation and dissemination improves the energy efficiency of WSNs. In this paper, we proposed the Efficient Data aggregation an dissemination using Optimized Tree based clustering (EDOT) for IoT enabled WSNs. As the name indicates the aim of EDOT is to improve the process of data aggregation and transmission. The main properties of EDOT protocol is build routing tree with less number of messages, increased number of overlapping paths, improved aggregation rate, reliable data aggregation, and reliable data dissemination according to shortest path tree (SPT) and reliable data fusion solution. The main aim of the EDOT is build energy efficient and reliable tree with shortest paths which connect all the source sensor nodes to the intended sink to improve data aggregation and dissemination performance. The simulation results claimed that EDOT improves the performance compared to state-of-art protocols.