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View all- Li MOuyang YKang WChe XYe R(2022)Decision Model of Wireless Communication Scheme Evaluation via Interval NumberSecurity and Communication Networks10.1155/2022/59160612022Online publication date: 1-Jan-2022
SARC: Search and rescue optimization-based coding scheme for channel fault tolerance in wireless networks
Abstract
Energy efficiency in wireless network has received significant attention in the field of academia and industry. In additions, error correction and detection have become important aspects and it have been receiving considerable attention in wireless network application. In this paper, we have proposed Search and Rescue (SAR) optimization algorithm based faulty tolerant coding technique. Actually, SAR imitates the explorations behaviour of humans during search and rescue operations. The performance of SAR is better in terms of complexity, fast convergence and accurate optimal solution finding, thus we have selected SAR in our work for the optimization of fault tolerant coding process in wireless networks. Search and Rescue optimized Coding (SARC) scheme mainly works by means of codeword length and the data (sample) length for detection and correction purpose of consecutive and non-consecutive bit errors. The simulation is carried out and validated using MATLAB platform and the complexity of proposed SARC is analysed with some other existing coding techniques.
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Index Terms
- SARC: Search and rescue optimization-based coding scheme for channel fault tolerance in wireless networks
Index terms have been assigned to the content through auto-classification.
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Publication History
Published: 01 August 2021
Accepted: 28 June 2021
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View all- Li MOuyang YKang WChe XYe R(2022)Decision Model of Wireless Communication Scheme Evaluation via Interval NumberSecurity and Communication Networks10.1155/2022/59160612022Online publication date: 1-Jan-2022