Hybrid salp swarm–firefly algorithm‐based routing protocol in wireless multimedia sensor networks,International Journal of Communication Systems

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Hybrid salp swarm–firefly algorithm‐based routing protocol in wireless multimedia sensor networks
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-11-16 , DOI: 10.1002/dac.4633
Ambareesh Srinivasa Gowda ₁ , Neela Madheswari Annamalai ₂

Affiliation

Nowadays, there occurs a great demand for effective transmission of video. It is necessary to design an efficient transmission approach to transmit a huge amount of data in wireless multimedia sensor networks (WMSNs). But the routing based on wireless multimedia sensor networks is not much popular like other wireless sensor networks. Due to its peculiar features, it finds few troubles in directly applying the resolutions into the WMSNs. The work outlined in this paper is aimed at minimizing the delay and expected transmission count (ETX) cost of the QoS requirements. Moreover, this paper also proposes a hybrid salp swarm–firefly (HSSFF) approach which is the integration of two algorithms, namely, salp swarm and firefly optimization algorithms. The HSSFF approach employs in obtaining an optimal routing path with minimum end‐to‐end delay and less ETX value. Here, the fitness function for Simulink evaluation is twofold. We also presented the simulation results for two scenarios, and the comparative analysis is carried out to determine the best optimal routing path. Therefore, the simulation results describe that the HSSFF approach provides better performance on various nine test functions.

中文翻译：

无线多媒体传感器网络中基于混合Salp群-萤火虫算法的路由协议

如今，对视频的有效传输产生了巨大的需求。有必要设计一种有效的传输方法来在无线多媒体传感器网络（WMSN）中传输大量数据。但是，基于无线多媒体传感器网络的路由并没有像其他无线传感器网络那样流行。由于其独特的功能，在直接将分辨率应用于WMSN时发现了很多麻烦。本文概述的工作旨在最小化QoS要求的延迟和预期传输计数（ETX）成本。此外，本文还提出了一种混合的Salp群-萤火虫（HSSFF）方法，它是Salp群和萤火虫优化算法这两种算法的集成。HSSFF方法用于获得具有最小端到端延迟和较小ETX值的最佳路由路径。这里，用于Simulink评估的适应度函数是双重的。我们还给出了两种情况的仿真结果，并进行了比较分析，以确定最佳的最佳路由路径。因此，仿真结果表明，HSSFF方法可在各种九种测试功能上提供更好的性能。

更新日期：2021-01-04

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