aranidharan VARADHARAJAN, Sivaradje GOPALAKRISHNAN, Kiruthiga VARADHARAJAN, Karthikeyan MANI, Sathishkumar KUTRALINGAM

Energy-eﬀicient virtual infrastructure based geo-nested routing protocol for wireless sensor network

The wireless sensor networks (WSN) are comprised of hundreds to thousands of compact and battery- operated sensor nodes. The deployed sensor nodes are widely used to sense the physical changes in the environment, which collect, aggregate, and transmit the information as data packets or static sink or monitoring station. The data transmission is very challenging under some extreme environments and applications. The eﬀicient way of data transmission is achieved by designing an energy-eﬀicient routing protocol. The position of the sink nodes is broadcasted periodically to all other sensor nodes to forward the sensed data to the monitoring system or sink. The frequent broadcasting of the sink position of the sink will lead to the consumption of more energy and collision in networks. In order to overcome these issues, the new energy-eﬀicient virtual infrastructure based routing protocol has been proposed in this paper. This proposed energy-eﬀicient geo-nested routing protocol with a modified virtual multiring structure is used to update and forward the sensed information. The proposed algorithm comprises of two phases: routing establishment using virtual infrastructure and data forwarding. During the first phase, the geo-nested virtual infrastructure constructed to form a closed-loop structure to identify the effective router nodes to route the data. This stage will minimize the number of hops based on depth threshold values. In the second phase of the algorithm, the links are formed during the last stages are changed dynamically based on the sink mobility and energy levels. This will achieve the energy balance and significantly improves the network lifetime of wireless sensor networks. The simulated results of the proposed routing algorithm show that the energy consumption, impact of sink mobility, and end to end delay metrics are comparatively better than the existing routing protocol algorithms

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