Abstract
The area of Wireless Sensor Network (WSN) unwraps lots of challenges to the field of cognitive networking largely, in the modern era of communication and network engineering. The basis step to tackle the issue related to listening/receiving the data is to introduce effective methodologies in the way of communicating with the nodes in the network. The paper proposes an improvement to the design of WSN formation, where the battery operated Wireless sensor nodes (or nodes)transmits data continously to the Base station (or sink)addressing the challenges in improving QoS parameters and Energy management of nodes. In this paper, we propose a modified version of PEGASIS (Power-Efficient Gathering in Sensor Information System) protocol namely EDA-PEGASIS (Euclidean Distance Assisted – PEGASIS) to improve the lifetime of network by creating partial chains in data gathering after initial run and re-electing the leader node (LN) after energy level of the transmitting node falls below a threshold value by including Euclidean distance as a constraint. The nodes once acted as a LN will not be re-elected until energy level of all the nodes nearing to sink are below the threshold value. As a result, the average energy spent by each node per round is reduced which in turn lower the bandwidth requirement thereby achieving less power dissipation benchmark to increase efficiency and lifetime of the network. Further, this design of communication of nodes using EDA-PEGASIS will help to reduce the computational complexities in Cognitive Network.
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Sreeram, S., Nagarajan, G. (2021). EDA-PEGASIS: A Balanced Energy Aware Routing Approach for Sensor Network to Reduce Cognitive Networking Complexities in Wireless Medium. In: Priyadarshi, N., Padmanaban, S., Ghadai, R.K., Panda, A.R., Patel, R. (eds) Advances in Power Systems and Energy Management. ETAEERE ETAEERE 2020 2020. Lecture Notes in Electrical Engineering, vol 690. Springer, Singapore. https://doi.org/10.1007/978-981-15-7504-4_57
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