Multiobjective Gray-Wolf-Optimization-Based Data Routing Scheme for Wireless Sensor Networks
| Autor: | Archana Ojha, Prasenjit Chanak |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Smart system
Computer Networks and Communications Network packet Computer science business.industry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Rendezvous Computer Science Applications law.invention Hardware and Architecture Relay law Signal Processing Network performance Routing (electronic design automation) business Wireless sensor network Information Systems Data transmission Computer network |
| Zdroj: | IEEE Internet of Things Journal. 9:4615-4623 |
| ISSN: | 2372-2541 |
| DOI: | 10.1109/jiot.2021.3105425 |
| Popis: | In the Internet of Things (IoT) based smart systems, Wireless Sensor Networks (WSNs) play a vital role in physical object monitoring. It collects data by sensing the environment and sends the data to a central depository. Due to multi-hop data transmission, sensor nodes stationed near the sink have to relay a huge amount of data packets compared to the sensor nodes stationed far away from the sink. Hence, sensor nodes stationed near the sink consume more energy and die early. It leads to the premature death of the network. This paper proposes a Multi-Objective Gray Wolf Optimization based intelligent data routing mechanism for WSNs that prevents premature death of the network. It significantly improves network lifetime performance. The proposed scheme divides the whole network into different optimal size clusters and selects optimal rendezvous points. Mobile sink visits each rendezvous point through the optimal path and collects data from the sensor nodes. Extensive simulation results show that the proposed scheme effectively prevents premature death of the network and improves the network performance compared to the state-of-the-art algorithms. |
| Databáze: | OpenAIRE |
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