Developed clustering approaches to enhance the data transmissions in WSNs

Abstract

Wireless sensor networks (WSNs) usually build from huge number of randomly deployed sensor nodes in certain area. The sensors are mainly utilized to monitor physical and environmental conditions, gather information, process this data locally and transfer the sensed data back to the Base Station (BS). The main objective of this paper is to simulate, evaluate and observe the behavior of developed clustering approaches and compare their performance metrics. In this study all the cluster nodes must sensing certain data and transmit it to its cluster head (CH). These data will be collected at particular nodes known as cluster heads that is previously assigned for each cluster. The CH aggregates the data and forwards it to the base station or a node sink. In this study two developed clustering approaches are suggested and created using Net Logo (5.2.1 version 2015). These approaches are Extreme node and double Extreme nodes. In addition to these two approaches, the DB-Scan clustering approach is also suggested to be used as a reference to compare its results with these two suggested algorithms. Results show certain improvement in these suggested algorithms. Many performance metrics can be used to Measure the performance of the suggested WSN such as NRL, PDF, End-to-end and throughput.