Title: Fuzzy logic-based delay efficient data collection technique for IoT environment

Authors: Deepa Rani; Tanuj Wala; Rajeev Kumar; Naveen Chauhan

Addresses: Department of Computer Science and Engineering, National Institute of Technology, Hamirpur, India ' Department of Computer Science and Engineering, National Institute of Technology, Hamirpur, India ' Department of Computer Science and Engineering, National Institute of Technology, Hamirpur, India ' Department of Computer Science and Engineering, National Institute of Technology, Hamirpur, India

Abstract: The sensor nodes in WSNs are resource constraints and data collection is draining the sensor node's energy. Therefore, collecting data in a single hop by the mobile device helps in preserving the sensor node energy. This paper is introducing a fuzzy logic-based one hop data collection path (FLO-DCP) algorithm to find stop points from the set of intersecting points of the overlapped clusters and to reduce the data collection time by shorting the path length of the mobile device and increasing the lifetime of the network by preserving the sensor node's energy. The proposed method consists of three phases. First, fuzzy logic-based overlapped clusters are formed, thereafter the stop points and trajectory path for the mobile device is being computed, and last, the data collection process is done. Also, in comparison with NDCMC, CB, and ORLP-RP algorithms, simulation results show that the proposed algorithm has better performance.

Keywords: internet of things; data collection; fuzzy C-mean; FCM; clustering; trajectory; one-hop transmission; mobile device.

DOI: 10.1504/IJCNDS.2023.133902

International Journal of Communication Networks and Distributed Systems, 2023 Vol.29 No.6, pp.653 - 678

Received: 03 Aug 2022
Accepted: 15 Sep 2022
Published online: 05 Oct 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article