Modified Flower Pollination Algorithm based Resource Management Model for Clustered IoT Network

Tarek Gaber¹, Chin-Shiuh Shieh², Yuh-Chung Lin³, Fatma Masmoudi⁴

¹School of Science, Engineering & Environment, University of Salford, UK

²Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan

³School of Information Science and Technology, Sanda University, Shanghai 201029, China

⁴College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, 11942, Saudi Arabia

Emails: tmgaber@gmail.com; csshieh@nkust.edu.tw; yuhchung@sandau.edu.cn, f.masmoudi@psau.edu.sa

Abstract

Internet of Things (IoT) is a technological innovation that defined interaction and computation of latest period. The objects of Internet of Things would empower by embedded gadgets whose limited sources has to be managed effectively. IoT usually means a network of devices connected through wireless network and interacts through internet. Resource management, particularly energy management, becomes a serious problem while devising IoT gadgets. Numerous researchers stated that routing and clustering were energy effectual solutions for optimum resource management in IoT setting. This study introduces a Modified Flower Pollination Algorithm based Resource Management (MFPA-RMM) model for Clustered IoT Environment. The presented MFPA-RMM model majorly focuses on the clustering the IoT devices in such a way that the resources are proficiently managed. The MFPA-RMM model is derived based on the fuzzy c-means (FCM) with FPA. The FPA approach is called heuristic algorithm has benefits of global optimization and faster convergence, therefore it was incorporated to FCM system for resolving the advantages and disadvantages of FCM method termed FCM-FPA mechanism. The result analysis of the MFPA-RMM model reported the enhanced performance of the MFPA-RMM model over other well-known techniques like LEACH and TEEN.

Keywords: Clustering; Internet of Things; Heuristics; Flower pollination algorithm; Resource management