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Quasi-Chain Routing for Optimized Network Participation in Wireless Sensor Networks within Obstacle-Free IoT Ecosystems.

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Titel: Quasi-Chain Routing for Optimized Network Participation in Wireless Sensor Networks within Obstacle-Free IoT Ecosystems.
Autoren: Sivadasan, Sreeram1 (AUTHOR) sreeramsivadas@gmail.com, Nagarajan, Govindan1 (AUTHOR) nagarajanme@yahoo.co.in
Quelle: International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems. Aug2025, Vol. 33 Issue 5, p537-548. 12p.
Schlagwörter: *COMPUTER network protocols, *ENERGY consumption, WIRELESS sensor networks, INTERNET of things, TRIANGULATION, ACQUISITION of data, NETWORK performance
Abstract: This paper delves into optimizing WSNs within the IoT paradigm, addressing the critical issue of coverage holes, which significantly impede network performance. In this work, sensor nodes are randomly placed in a predefined area and sink node is placed in a predefined position. The network is triangulated making use of the special properties of Delaunay Triangulation for the placement of mobile nodes and thus to have improved participation of sensor nodes in the network. Algorithms are introduced by placing the mobile nodes in specially identified positions will improve the participation of nodes in the network, thus making the network contribute with better results. To address the energy management, we introduce semi-chain protocols that significantly prolong network lifespan and reduce complexity. By integrating Delaunay Triangulation in chain construction, we simplify the process of nearest neighbor identification, minimizing the energy expenditure of individual nodes. The synergy of these techniques culminates in a WSN that is both resilient and energy-efficient, ideal for IoT applications where precise and reliable data collection is imperative. [ABSTRACT FROM AUTHOR]
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Datenbank: Business Source Index
Beschreibung
Abstract:This paper delves into optimizing WSNs within the IoT paradigm, addressing the critical issue of coverage holes, which significantly impede network performance. In this work, sensor nodes are randomly placed in a predefined area and sink node is placed in a predefined position. The network is triangulated making use of the special properties of Delaunay Triangulation for the placement of mobile nodes and thus to have improved participation of sensor nodes in the network. Algorithms are introduced by placing the mobile nodes in specially identified positions will improve the participation of nodes in the network, thus making the network contribute with better results. To address the energy management, we introduce semi-chain protocols that significantly prolong network lifespan and reduce complexity. By integrating Delaunay Triangulation in chain construction, we simplify the process of nearest neighbor identification, minimizing the energy expenditure of individual nodes. The synergy of these techniques culminates in a WSN that is both resilient and energy-efficient, ideal for IoT applications where precise and reliable data collection is imperative. [ABSTRACT FROM AUTHOR]
ISSN:02184885
DOI:10.1142/S0218488525400021