Data collection model for energy-efficient wireless sensor networks

Abstract

To deal with real life scenarios for wireless sensor networks with uneven contours, connectivity issues, and dropping packets, heterogeneous sensors became the vital factor to enhance its capability in terms of energy efficiency and end-to-end packet delay. In recent times, end-to-end packet delay has a significant role in wireless sensor networks along with energy efficiency and network lifetime. In the present situation, the information delayed is information lost, and hence, end-to-end packet delay is playing an important role in wireless sensor networks. To address the issue of end-to-end packet delay in wireless sensor network, a mobile cluster-head data collection model for heterogeneous wireless sensor networks has been evaluated. In this paper, the mobile cluster-head data collection model has been evaluated for two different scenarios. This paper also illustrates the velocity of the cluster-head node with which it should move to reduce the end-to-end packet delay. The mobile cluster-head data collection mobility model has been evaluated for end-to-end packet delay on the basis of data send rate, network size, sensor node density, and cluster-head node density. For verification and validation, extensive simulations have been conducted which validates that the efficient mobility pattern of the mobile cluster-head nodes can lower end-to-end packet delay of wireless sensor networks.