A study of energy optimization in wireless sensor networks based on efficient protocols with algorithms
E Devika, A Saravanan · 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) · 2022
Wireless Sensor Networks (WSN) are built by connecting wireless sensor nodes, each of which is small and capable of sensing, storing, and processing environmental data as well as interacting with other nodes. During sensing and assessment processes, sensor nodes (SNs) coordinate as well as transmit collected data with other remote nodes. The data communication procedure consumes the majority of the energy of sensor nodes. Clustering is extensively employed as an ideal strategy in the WSN to reduce total energy usage. Sensing unit networks are arbitrary in addition to in-network in WSNs, depending on the technique employed to expand the network. Because sensing unit nodes employ battery power to notice facts as well as transfer data, they rely on capability to provide those replies. Power optimization, protection, guiding, and project type are significant issues in cordless networks. Current approaches for reducing power consumption in WSNs, as well as various protocols and methods, are investigated in this paper. This study provides an overview of recently implemented strategies for balancing energy usage and extending the WSN's lifespan. The advantages and drawbacks of each strategy are also highlighted. Data Extraction Strategies for Wireless Sensing unit Networks are used to overcome various limitations in previous optimization algorithms and provide much better treatment.