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Title |
Scalarizing Metaheuristics for Effective Routing in Wireless IoT Environment |
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Author |
A.Jainulabudeen, M. Mohamed Surputheen |
| Citation |
Vol. 22 No. 6 pp. 627-633 |
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Abstract |
Energy efficiency is a major concern in certain specialized IoT environments. A scalable routing protocol that is energy efficient can effectively aid in extending the lifetime of a network. This work presents a metaheuristic based routing model that can be used for energy efficient routing in IoT environment. The particle swarm optimization algorithm has been scalarized to enable reactive routing. Scalarization ensures selection of node dynamically based on the current situation. This ensures that the transmission is successful irrespective of failure of any nodes. Hence reduces the need for retransmission. Every transmission generates a single initial node to which the packet is to be transferred. Further routes are identified as the packet getting transferred. This process of reactive routing highly reduces retransmission, and also ensures that the packet is transferred to a capable node. Experiments have been conducted and comparison with existing state of the art model indicates that the Scalarized PSO (S-PSO) model exhibits very low overhead and effective load balancing. |
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Keywords |
Routing; Metaheuristics; Scalarization; Reactive Routing; IoT |
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