Intelligent Approaches for Enhancing Networked Routing Protocol


  • Ruwaida M. Yas Iraqi Commission for Computer & Informatics-Information Institute for Postgraduate Studies
  • Sokaina Hashim University of Technology-Computer Science Department



wsn, routing, ai, moea, aco, ga


     The rapid evolution of wireless networking technologies opens the door to the evolution of the Wireless Sensor Networks (WSNs) and their applications in different fields. The WSN consists of small energy sensor nodes used in a harsh environment. The energy needed to communicate between the sensors networks can be identified as one of the major challenges. It is essential to avoid massive loss, or loss of packets, as well as rapid energy depletion and grid injustice, which lead to lower node efficiency and higher packet delivery delays. For this purpose, it was very important to track the usage of energy by nodes in order to improve general network efficiency by the use of intelligent methods to reduce the energy used to extend the life of the WSN and take successful routing decisions. For these reasons, designing an energy-efficient system that utilizes intelligent approaches is considered as the most powerful way to prolong the lifetime of the WSN. The proposed system is divided into four phases (sensor deployment phase, clustering phase, intra-cluster phase, and inter-cluster phase). Each of these phases uses a different intelligent algorithm with some enhancements. The performance of the proposed system was analyzed and evaluations were elaborated with well-known existing routing protocols. To assess the proficiency of the proposed system and evaluate the endurance of the network, efficiency parameters such as network lifetime, energy consumption, and packet delivery to the Sink (Base station) were exploited. The experimental outcomes justify that the proposed system surpasses the existing mechanisms by 50%.


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How to Cite

Yas, R. M., & Hashim, S. (2021). Intelligent Approaches for Enhancing Networked Routing Protocol. Iraqi Journal of Science, 62(11), 4121–4147.



Computer Science