Work place: Department of Computer Technology Engineering, Middle Technical University, Iraq
E-mail: bbc0026@mtu.edu.iq
Website:
Research Interests: Computer Architecture and Organization, Artificial Intelligence, Wireless Networks, Wireless Communication, Computer Networks, Data Structures and Algorithms, Combinatorial Optimization
Biography
Ahmed Sh. Al-Obady received the B.Sc. degrees in Computer Technical Engineering from Mazaya University College, Dhi Qar, Iraq, in 2018. He is currently pursuing an M.Sc. degree in wireless network engineering at Middle Technical University, Iraq. His current research interests include IoT, artificial intelligence, wireless sensor networks, development and optimization of routing protocols, SDN, and cloud computing.
By Ahmed Sh. Al-Obady Thair Al-Janabi Ammar Hussein Mutlag
DOI: https://doi.org/10.5815/ijwmt.2022.01.01, Pub. Date: 8 Feb. 2022
With the rapid development of Internet of Things (IoT) technology, researches in IoT and Wireless Sensor Networks (WSNs) has led to a very heavy reliance on Software Defined Networking (SDN). WSNs have some resource scarcities that affect their performance, such as power supply, processing units, memory, and communication capacity. This paper suggests an optimized routing protocol, named Future Search Algorithm-Temperature Routing protocol (FSA-TR) that is based on the temperature and recent technologies to find the optimal set of clusters. The SDN and Cloud technologies have been used in the architecture of the proposed protocol. A Multi-objective FSA that considers resource restrictions of the sensors, such as energy and communication capability, has been presented to identify the best solution. The temperature of the IoT sensors according to their distribution in the geographical has been considered. Accordingly, a Cluster Head (CH) is selected depending on the remaining energy, the distance between nodes, and environmental temperature. Finally, the experimental results showed an enhanced system performance of many features, such as energy dissipation, network lifetime and the number of packets sent to the sink. For instance, the network lifetime of the proposed protocol has been increased by approximately 36%, 27% and 20% compared to LEACH, SEP and optimized protocol PSO-C, consecutively.
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