Transmission Delay Minimization in Wireless Sensor Network Using Cluster-Based Approach

Mohd Umer Reshi, Jasdeep Singh

Abstract: In Wireless Sensor Network (WSNs), nodes are interlinked that establish communication wirelessly for data collection in the surrounding environment. It regards as a structured and heterogeneous network where the sensor nodes have some energy which is power by external sources and it is constructed using a collection of several tiny sensor nodes. In WSN, all sensor nodes are powered by battery in which a very small battery is placed over the sensor nodes, which is normally not simple to replace by which communication could be interrupted. Thus, energy efficiency and hence transmission delay is a major need in WSNs to make interrupt free communication in wireless manner. In presented approach, cluster-based routing protocol named as Low Energy Adaptive Clustering Hierarchy (LEACH) is utilized to find the path that consumed minimum energy and helpful to reduce the transmission delay. For this purpose, K-means with Artificial Neural Network (ANN) is integrated. Here, the ANN approach is utilized with the aim to minimize the transmission delay in the network. The performance evaluation of presented approach is done on the basis of QoS parameters such as Throughput, Packet Delivery Ratio (PDR), Transmission Delay and Energy Consumption, etc. The significant amount of improvement has been observed in terms of considered parameter. Both PDR and throughput using ANN has been observed as 7% and 22% respectively. The reduction in delay and energy consumption is decreased by the amount of35% and 4% respectively. So, it has been examined that by using ANN classifier, the presented work performs better.

Keywords: Wireless Sensor Network, Low Energy Adaptive Clustering Hierarchy, Artificial Neural Network, K-means, Transmission Delay