Spatial Correlation Based Clustering with dynamic CH Selection Scheme towards Enhanced QoS Metrics in Wireless Sensor Networks
Panchikattil Susheelkumar S1, D. J. Pete2

1Panchikattil Susheelkumar S*, Research Scholar, Department of Electronics Engineering, Datta Meghe College of Engineering, Airoli, Navi Mumbai, India.
2D. J. Pete, Professor & Head, Department of Electronics Engineering, Datta Meghe College of Engineering, Airoli, Navi Mumbai, India.
Manuscript received on January 23, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 29, 2020. | PP: 4264-4271 | Volume-9 Issue-3, February 2020. | Retrieval Number:  C6634029320/2020©BEIESP | DOI: 10.35940/ijeat.C6634.029320
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Abstract: Resource constrained wireless sensor nodes are generally randomly distributed in a given area of interest to sense required information and the sensed data is transmitted to the sink station or Base Station (BS) through various clustering and data routing algorithms. The standard clustering algorithms that are aimed at efficient data routing techniques are Low Energy Adaptive Clustering Hierarchy (LEACH) algorithm , Distributed Energy Efficient Clustering (DEEC) algorithm, Stable Election Protocol (SEP) and various others. Most of these algorithms are the various variants of LEACH. Our proposed scheme of data gathering and routing is based on a two hop structure wherein the Cluster Leader (CL) forwards the aggregated received data from the Cluster members to the Sink directly. The Chance-value that determines the Cluster Leader in a round is decided by a combination of parameters specific to the Sensor nodes in the cluster. In our simulation approach we have also tried to analyze the effect of changing density of sensor nodes in the select area. Thus in our proposed scheme, we embark on a fixed Clustering scheme where the CL is selected dynamically so as to extend the network’s lifetime and achieve enhanced throughput in comparison to the standard algorithms like DEEC, SEP and LEACH.
Keywords: Cluster-Leader, Network Life-Time, Sensing Range, Spatial Correlation.