Abstract
Recently, the exponential rise in communication system demands has motivated global academia-industry to develop efficient communication technologies to fulfill energy efficiency and Quality of Service (QoS) demands. Wireless Sensor Network (WSN) being one of the most efficient technologies possesses immense potential to serve major communication purposes including civil, defense and industrial purposes etc. The inclusion of sensor-mobility with WSN has broadened application horizon. The effectiveness of WSNs can be characterized by its ability to perform efficient data gathering and transmission to the base station for decision process. Clustering based routing scheme has been one of the dominating techniques for WSN systems; however key issues like, cluster formation, selection of the number of clusters and cluster heads, and data transmission decision from sensors to the mobile sink have always been an open research area. In this paper, a robust and energy efficient single mobile sink based WSN data gathering protocol is proposed. Unlike existing approaches, an enhanced centralized clustering model is developed on the basis of expectation-maximization (EEM) concept. Further, it is strengthened by using an optimal cluster count estimation technique that ensures that the number of clusters in the network region doesn’t introduce unwanted energy exhaustion. Meanwhile, the relative distance between sensor node and cluster head as well as mobile sink is used to make transmission (path) decision. Results exhibit that the proposed EEM based clustering with optimal cluster selection and optimal dynamic transmission decision enables higher throughput, fast data gathering, minima delay and energy consumption, and higher efficiency
Highlights
The high pace rise in the wireless communication system and associated communication applications have given rise to a new arena where across academia-industries the emphasis has been made to develop certain efficient and robust communication systems
Exploiting the effectiveness of the centralized clustering paradigm (CCP) for a large scale network, which is more relevant for Wireless Sensor Network (WSN) infrastructures, we developed an enhanced expectation maximization (EM) based clustering model
Unlike major existing approaches where generic clustering models have been incorporated, in this research work we developed an each-node’s degree of dependence (DoD) based responsibility factor (RF) estimation that effectively enhances generic Expectation Maximization (EM) based clustering models
Summary
The high pace rise in the wireless communication system and associated communication applications have given rise to a new arena where across academia-industries the emphasis has been made to develop certain efficient and robust communication systems. Unlike multiple mobile node based data gathering, this research paper intends to develop a robust single mobile sink based data gathering in WSN that could alleviate the contention issues but could make the overall communication efficiency optimal. Single mobile sink based WSN data gathering can significantly reduce the signaling overheads that as a result can make network computational efficient It can avoid major issues such as getting trapped in any security related adversaries [1,2]. With these motivations, in this paper we intend to develop a robust single mobile sink node based data gathering protocol for WSN networks.
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