Title: Integrated encoding and scheduling protocol for improving the lifetime in wireless sensor networks
Authors: Lina Waleed Jawad; Ali Kadhum Idrees
Addresses: Department of Software, University of Babylon, Babylon, Iraq ' Department of Computer Science, University of Babylon, Babylon, Iraq
Abstract: In this paper, we propose an Integrated Encoding and Scheduling (InES) protocol for extending the lifetime in wireless sensor nodes in IoT Networks. InES protocol works into two levels: sensor nodes and the gateway. The sensor nodes capture the data and compress them using either Modified Run Length Encoding (MRLE) or Huffman Encoding (HE). In the gateway level, InES applies the agglomeration clustering approach to produce the best schedule of sensor nodes that stay active in the next period. The sensor nodes are clustered based on the received vectors of data into groups and one sensor will be elected in each group to stay active in next period. The simulation results are conducted to prove the effectiveness of the proposed In ES protocol, where it reduces the transmitted data from 94.3 up to 98.8%, decreased the consumed energy from 99.5 up to 99.8% and decreased the percentage of lost data from 5.3 up to 21.1% compared to the PFF.
Keywords: sensor networks; IoT; scheduling; clustering; data compression; network lifetime.
International Journal of Computer Applications in Technology, 2022 Vol.69 No.4, pp.334 - 343
Received: 20 Aug 2021
Accepted: 17 Oct 2021
Published online: 07 Mar 2023 *