Title: 3S-hierarchical cluster-based energy-efficient data aggregation protocol in wireless sensor network
Authors: Arun Agarwal; Amita Dev
Addresses: GGSIPU, Delhi, 110078, India ' IGDTUW, Delhi 110006, India
Abstract: Energy utilisation is one of the most common challenges in wireless sensor networks, as frequent communication between the sensor nodes results in a huge energy drain. To overcome this challenge, a 3S-hierarchical cluster-based energy-efficient data aggregation protocol in wireless sensor network is proposed, where 3S represents smart sensing, selective cluster head nomination, and data aggregation schedule which reduce the energy consumption for prolonging network lifetime. The proposed technique has three phases. Smart data sensing which uses an unbounded buffer to store data values and reduces transmissions. Cluster selection where high value nodes are treated as extended nodes to become candidate for cluster head selection. An advance aggregation schedule, which alternatively demands sensor nodes to send data buffer based on node identification value. Simulation analysis and the results proved that the proposed algorithm could effectively enhance the network lifetime and reduce energy consumption while maintaining acceptable packet delivery ratios and delay values.
Keywords: aggregation; data management; energy efficiency; residual energy; scheduling; smart sensing; cluster head selection.
International Journal of Cloud Computing, 2022 Vol.11 No.4, pp.373 - 388
Received: 29 Nov 2019
Accepted: 01 Aug 2020
Published online: 09 Aug 2022 *