Dynamic Load-Balanced Sink Placement (DLBSP) Algorithm for WSNs in IoT

Abstract

The Wireless Sensor Networks are cost-effective and energy-limited. The need for wireless networks is on the increase because of the important role-play in the Internet of Things (IoT). In traditional Wireless Sensor Networks, the sink is responsible for collecting the data from whole the network, this strategy affects the network performance such as lifetime, congestion, network failure, and energy consumption. That is because the close nodes from the sink will consume more energy and make the network unstable. To solve this problem, it is important to choose an optimal location for the sink to minimize consumed energy and therefore increase network lifetime. In this paper, we have presented a new dynamic localization approach for the sink of Wireless Sensor Networks. The sink will be placed in the place where more nodes exist according to distance and energy using the suggested dynamic algorithm and we have achieved enhanced performance.