Al-Medhwahi Mohammed, Hashim Fazirulhisyam, Ali Borhanuddin Mohd, Sali Aduwati
Department of Computer and Communication Systems Engineering & Research Centre of Excellence for Wireless and Photonic Networks (WiPNET), Faculty of Engineering, University Putra Malaysia, Seri Kembangan, Selangor, Malaysia.
PLoS One. 2016 Jun 3;11(6):e0156880. doi: 10.1371/journal.pone.0156880. eCollection 2016.
The rapid expansion of wireless monitoring and surveillance applications in several domains reinforces the trend of exploiting emerging technologies such as the cognitive radio. However, these technologies have to adjust their working concepts to consider the common characteristics of conventional wireless sensor networks (WSNs). The cognitive radio sensor network (CRSN), still an immature technology, has to deal with new networks that might have different types of data, traffic patterns, or quality of service (QoS) requirements. In this paper, we design and model a new cognitive radio-based medium access control (MAC) algorithm dealing with the heterogeneous nature of the developed networks in terms of either the traffic pattern or the required QoS for the node applications. The proposed algorithm decreases the consumed power on several fronts, provides satisfactory levels of latency and spectrum utilization with efficient scheduling, and manages the radio resources for various traffic conditions. An intensive performance evaluation is conducted to study the impact of key parameters such as the channel idle time length, node density, and the number of available channels. The performance evaluation of the proposed algorithm shows a better performance than the comparable protocols. Moreover, the results manifest that the proposed algorithm is suitable for real time monitoring applications.
无线监测与监控应用在多个领域的迅速扩展强化了利用认知无线电等新兴技术的趋势。然而，这些技术必须调整其工作理念，以考虑传统无线传感器网络（WSN）的共同特征。认知无线电传感器网络（CRSN）仍是一项不成熟的技术，必须应对可能具有不同类型数据、流量模式或服务质量（QoS）要求的新型网络。在本文中，我们设计并建模了一种基于认知无线电的新型介质访问控制（MAC）算法，该算法针对所开发网络在流量模式或节点应用所需QoS方面的异构性质进行处理。所提出的算法在多个方面降低了功耗，通过高效调度提供了令人满意的延迟水平和频谱利用率，并针对各种流量状况管理无线电资源。进行了深入的性能评估，以研究诸如信道空闲时间长度、节点密度和可用信道数量等关键参数的影响。所提出算法的性能评估显示出比可比协议更好的性能。此外，结果表明所提出的算法适用于实时监测应用。
