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.

无线网络中的能源效率已受到学术界和工业界的极大关注。此外，纠错和检测已经成为重要的方面，在无线网络应用中受到了相当大的关注。在本文中，我们提出了基于容错编码技术的搜索和救援（SAR）优化算法。实际上，SAR 是模仿人类在搜救行动中的探索行为。SAR 的性能在复杂度、收敛速度快和寻优解准确度方面表现更好，因此我们在工作中选择了 SAR 来优化无线网络中的容错编码过程。Search and Rescue Optimization Coding（SARC）方案主要是利用码字长度和数据（样本）长度来检测和纠正连续和非连续误码的目的。使用MATLAB平台进行仿真和验证，并使用其他一些现有编码技术分析了所提出的SARC的复杂性。