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Dynamic Transmit Awake Feature based Forwarder Election in Mobile WSN
Mobile Wireless Sensor Network (MWSNs) is the collection of wireless mobile sensor nodes that are able to dynamically form a short-term network. Because of its dynamic nature, MWSN is self-configuring and obtaining the secure route is very challenging. The traditional routing efficiency approaches a...
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Main Authors: | , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | Mobile Wireless Sensor Network (MWSNs) is the collection of wireless mobile sensor nodes that are able to dynamically form a short-term network. Because of its dynamic nature, MWSN is self-configuring and obtaining the secure route is very challenging. The traditional routing efficiency approaches are not adequate for the protected routing of information from sender to receiver in MWSN since it necessitates refined hardware, software, great memory, speed of high processing, and transmission bandwidth. The major challenge of designing and developing WSNs for industrial supervising and control is fulfilling their strict stability necessities. Also, the network's stability is greatly affected and challenged in MWSN. In this paper, Dynamic Transmit Awake Feature (DTAF)-based forwarder election in mobile WSN is proposed. The DTAF approach aims to improve routing efficiency and minimize link failure in industrial applications. Here, the forwarder node is chosen along with the Transmit Awake Feature (TAF). This TAF is evaluated by the sensor node link weight, received signal strength, Expected Transmission count, and available throughput by applying the Cuckoo search (CS) algorithm. This approach improves the whole network's lifespan and connectivity. Furthermore, it increases the network stability and selects an efficient relay. The network simulator tool is used for verifying the DTAF performance. Simulations results evaluate the DTAF approach provides better-remaining energy, better throughput, and lesser packet delay. |
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ISSN: | 2832-3017 |
DOI: | 10.1109/ICSSIT55814.2023.10061101 |