Title: An improved data aggregation for fog computing devices in internet of things

Authors: M. Jalasri; L. Lakshmanan

Addresses: Department of AI&DS, Panimalar Engineering College, India ' Department of CSE, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, 600119, India

Abstract: Diverse data that have private information are stored in the cloud by institutions and users. Fog computing has progressed with regard to service latency and has also been comprehensively studied. A proposal has been made in this work to secure IoT data, a clustering algorithm that utilises backup cluster head (CH) for network performance enhancement, and also utilises a multi-route protocol for data transmission towards the fog system. Comparisons are made between the proposed algorithm and the energy efficient heterogeneous clustering algorithm (EEHCA). A novel particle swarm optimisation (PSO) and river formation dynamics (RFDs) algorithm was proposed in this work for effective CH election in wireless sensor network (WSN) to efficiently transmit data towards the base station (BS) with minimised energy. This technique bypasses local optima during the solution search, leading to significantly improved results. RFD-EEHCA outperforms EEHCA by 8.53% and PSO by 8.09% in terms.

Keywords: cloud computing; internet of things; IoT; fog computing; security; wireless sensor network; WSN; routing; clustering; energy efficient heterogeneous clustering algorithm; EEHCA; particle swarm optimisation; PSO; river formation dynamics; RFDs.

DOI: 10.1504/IJNVO.2024.137550

International Journal of Networking and Virtual Organisations, 2024 Vol.30 No.2, pp.114 - 133

Received: 26 Aug 2022
Accepted: 30 Oct 2022
Published online: 25 Mar 2024 *

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