Time-optimized management of mobile IoT nodes for pervasive applications. (1st January 2019)

• Record Type: Journal Article
• Authors: Kolomvatsos, Kostas
• Is Part Of: Journal of network and computer applications. Volume 125(2019)
• Page Start: 155
• Page End: 167
• Publication Date: 2019-01-01
• Subjects: Pervasive computing -- Internet of Things -- Updates management -- Optimal stopping; Microcomputers -- Periodicals; Computer networks -- Periodicals; Application software -- Periodicals; Micro-ordinateurs -- Périodiques; Réseaux d'ordinateurs -- Périodiques; Logiciels d'application -- Périodiques; Application software; Computer networks; Microcomputers; Periodicals; 004.05; 004
• DOI: 10.1016/j.jnca.2018.10.016
• Languages: English
• ISSNs: 1084-8045

Abstract

Abstract: The Internet of Things (IoT) incorporates numerous nodes adopted to support novel pervasive computing applications. Nodes are capable of interacting each other and/or collect/process huge volumes of ambient data. Any service or application executed on top of the collected data is hosted by the operating software/firmware of nodes, thus, such software should be up-to-date. Legacy techniques dealing with the update task cannot efficiently support it due to the adopted centralized approach that suffers from a number of disadvantages. In this paper, we go a step forward and propose a time-optimized and network performance-aware model for initiating and concluding the update process. Our aim is to have the nodes independently deciding the initiation of the update process by finding the appropriate time to execute it. Every node acts autonomously and monitors the network's performance to find a slot where performance parameters advocate for an efficient and uninterrupted conclusion of the update task. Hence, the proposed model can be adapted to the environment and the status of each node. The final decision is made taking into consideration multiple parameters and it is based on the solution of the widely known Secretary Problem (SP) originated in the Optimal Stopping Theory (OST). We provide the description of the problem, specific formulations and the analysis of our solution while extensive experiments reveal the advantages of the proposed scheme.