International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 174 - Number 18 |
Year of Publication: 2021 |
Authors: Sharaf Alhomdy, Mohammed Q. AL_shamiry, Ghaleb Al-Gafary |
10.5120/ijca2021921063 |
Sharaf Alhomdy, Mohammed Q. AL_shamiry, Ghaleb Al-Gafary . An Energy-based Wireless Sensor Network Model to Improve the Performance of the Internet of Things. International Journal of Computer Applications. 174, 18 ( Feb 2021), 1-9. DOI=10.5120/ijca2021921063
Internet of Things (IoT) plays an important role by bringing together people, process, data, and things to make networked connections more relevant and valuable. The devices of the IoTs sense environmental conditions using Wireless Sensor Networks (WSNs), so WSN are the most important components of the IoT. WSN is a widespread network used in many IoT applications and any improvement in WSN reflects positively on IoT. There are many important issues related to WSN such as energy consumption, end-to-end delay, and packet loss rate. This paper aims to propose efficient control system model to improve the Quality of Service (QoS) requirements and maximize the resource utilization in WSN, through adapts the data rate that should be used by the source nodes, and determine the appropriate routing protocol to work in the network according to the network conditions. Castalia 3.2 and XEEMU-1.0 simulators were used to evaluate the control system model performance with taking into account different network scenarios. The simulation results showed the efficiency of the proposed Model in terms of reducing power consumption, end-to-end delay, and packet loss rate compared to the other schemes.