Efficient Data Aggregation and Dissemination Protocol for IoT enabled Wireless Sensor Network

Abstract

The increasing interest of using the Internet of Things (IoT) for the real time applications related to smart remote and automatic monitoring of tasks leads to several research challenges as well. Since from last decade, number of methodology presented for the IoT enabled wireless communications based on end user applications such as smart traffic monitoring, irrigation management, health monitoring, disaster and security monitoring, weather monitoring etc. Apart from the traffic monitoring, most of the other IoT enabled applications are based on Wireless Sensor Networks (WSNs). The well-known and widely studied research problem of WSNs is limited processing capabilities and battery life of sensor nodes. For IoT enabled WSNs, the key tasks is to aggregate the on-field data periodically and disseminate it to the remote station in order to take the decision through the actuators connected to WSNs. The period process consumes more sensor energy; therefore it needs the energy efficient data aggregation and dissemination algorithm. In this paper, we proposed the novel Efficient Data aggregation an dissemination using Optimized Tree based clustering (EDOT) for IoT enabled WSNs. The novelty of EDOT approach is that it forms the clusters based on tree construction only when there is data collected by on-field sensor nodes. The EDOT consists of three phases such as tree formation from sink to source sensors in network, after tree formation the clusters formed, finally the data aggregation and dissemination phase. In this paper, we presented the model of EDOT by considering three phases and its performance evaluations as compared to state-of-art methods. The simulation result proves that EDOT improved the efficiency over the existing methods.