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Survivability Aware Channel Allocation in WSN for IoT applications
Pervasive and Mobile Computing ( IF 3.0 ) Pub Date : 2019-11-27 , DOI: 10.1016/j.pmcj.2019.101107
Manu Elappila , Suchismita Chinara , Dayal Ramakrushna Parhi

The Proliferation of the Internet of Things applications like healthcare monitoring services and others has accelerated the demand for wireless networks of tiny devices. Network congestion escalates as the number of field devices with wireless connectivity increases. An efficient medium access control strategy that provides a reliable channel by reducing the packet collision is paramount in these congested network topologies. MAC protocols should evaluate properties of the links before allowing nodes to access the shared medium. Network survivability is an important attribute to be considered in IoT scenarios and has multiple stratifications; path, link, and node survivability. Protocols at various layers of protocol stack should operate jointly to prolong the network survivability. This work develops a Survivability Aware Channel Allocation (SACA) technique which is a fuzzy-based mechanism that enables the network components to adapt the preferences to get the channel access. It works along with upper layer protocols with a cross-layer design to prioritize medium access strategies. Simulation results suggest that the proposal works better in terms of network throughput and packet delivery rate and improves the reliability of the network. The new method operates at every node and tries to control performance degradation as the network density expands.



中文翻译:

WSN中针对物联网应用的可生存性感知信道分配

诸如医疗保健监控服务等物联网应用的激增,加速了对微型设备无线网络的需求。随着具有无线连接的现场设备数量的增加,网络拥塞加剧。在这些拥塞的网络拓扑结构中,通过减少数据包冲突来提供可靠通道的有效媒体访问控制策略至关重要。MAC协议应在允许节点访问共享介质之前评估链接的属性。网络生存能力是物联网场景中要考虑的重要属性,具有多个层次。路径,链接和节点的生存能力。协议栈各个层上的协议应共同运行以延长网络生存能力。这项工作开发了一种生存能力感知的信道分配(SACA)技术,它是一种基于模糊的机制,使网络组件可以调整首选项以获取信道访问权限。它与具有跨层设计的上层协议一起使用,以优先处理媒体访问策略。仿真结果表明,该方案在网络吞吐率和分组传输速率方面效果更好,并提高了网络的可靠性。新方法在每个节点上运行,并尝试控制随着网络密度扩展而导致的性能下降。仿真结果表明,该方案在网络吞吐率和分组传输速率方面效果更好,并提高了网络的可靠性。新方法在每个节点上运行,并尝试控制随着网络密度扩展而导致的性能下降。仿真结果表明,该方案在网络吞吐率和分组传输速率方面效果更好,并提高了网络的可靠性。新方法在每个节点上运行,并尝试控制随着网络密度扩展而导致的性能下降。

更新日期:2019-11-27
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