A Multihoming ACO-MDV Routing for Maximum Power Efficiency in an IoT Environment
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Internet of Things (IoT) is the recent technology emerged with new research ideas in the communication arena. With multiple sensors and actuators, it operates on limited energy for numerous applications and it requires major updates for data updating in the network. Mobility, redundancy, and bandwidth are the common factors used to measure the network performance. Data accessing using multihoming mechanism is used to enhance the network performance without any compromise in quality of service. Multi-homing is used to connect one or more devices into a heterogeneous multi-network by using IP address with a best routing strategy. Efficient routing in the multihoming mechanism develops a reliable network and provides a better power efficiency and QoS policy to the users. This proposed research work includes an efficient Ant Colony Optimization On-demand Multipath Distance Vector routing algorithm for enhancing power efficiency in multihoming mechanism based IoT. The proposed model highlights the best routing algorithm in terms of energy consumption and delay that is suitable in multihoming networks.
KeywordsInternet of Things (IoT) Multihoming Ant colony optimization (ACO) Multipath distance vector (MDV)