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A new medium access control mechanism for energy optimization in WSN: traffic control and data priority scheme
EURASIP Journal on Wireless Communications and Networking ( IF 2.3 ) Pub Date : 2021-02-25 , DOI: 10.1186/s13638-021-01924-4
Imen Bouazzi , Monji Zaidi , Mohammed Usman , Mohammed Zubair M. Shamim

Over the last few years, energy optimization in wireless sensor networks (WSNs) has drawn the attention of both the research community and actual users. Sensor nodes are powered by attached batteries that are considered as a critical aspect of sensor nodes design. Besides, the constraint of the limited battery capacity is associated with the concern on how to reduce the energy consumption of nodes to extend the network lifetime. In this context, the purpose of this study is to implement an adaptive medium access control (MAC) for energy saving and traffic control enhancement. This program was designed to arrange nodes into two priority groups according to their traffic rate and data transmission packet delay. This fuzzy algorithm depends on their queue length where it is implemented into the carrier sense multiple access with collision avoidance (CSMA/CA) algorithm. However, other types of nodes should send their data during the contention-free period with a GTS reallocation scheme. Those nodes are classified as low priority access to the medium, and their data transmission is scheduled using time division multiple access methods. Moreover, this proposed scheme dynamically adjusts the contention access period length to ensure that nodes can complete their data transmission during the same super-frame. Simulation results are done using the network simulator tool (NS-2), and it has improved efficiency regarding the IEEE-802.15.4 standard.



中文翻译:

WSN中用于能量优化的新媒体访问控制机制:流量控制和数据优先级方案

在过去的几年中,无线传感器网络(WSN)中的能量优化引起了研究界和实际用户的关注。传感器节点由连接的电池供电,这被视为传感器节点设计的关键方面。此外,受限电池容量的约束与如何减少节点的能量消耗以延长网络寿命有关。在这种情况下,本研究的目的是实现一种节能和交通控制增强的自适应媒体访问控制(MAC)。该程序旨在根据节点的通信速率和数据传输数据包延迟将其分为两个优先级组。这种模糊算法取决于他们的队列长度,在该算法中,将其实现为具有冲突避免功能的载波侦听多路访问(CSMA / CA)算法。但是,其他类型的节点应在无竞争期间使用GTS重新分配方案发送其数据。这些节点被分类为对介质的低优先级访问,并且使用时分多址访问方法调度它们的数据传输。此外,该提议的方案动态地调整竞争访问周期的长度,以确保节点可以在相同的超帧中完成其数据传输。使用网络仿真器工具(NS-2)可以完成仿真结果,并且相对于IEEE-802.15.4标准,它具有更高的效率。其他类型的节点应在无争用期间使用GTS重新分配方案发送其数据。这些节点被分类为对介质的低优先级访问,并且使用时分多址访问方法调度它们的数据传输。此外,该提议的方案动态地调整竞争访问周期的长度,以确保节点可以在相同的超帧中完成其数据传输。使用网络仿真器工具(NS-2)可以完成仿真结果,并且相对于IEEE-802.15.4标准,它具有更高的效率。其他类型的节点应在无争用期间使用GTS重新分配方案发送其数据。这些节点被分类为对介质的低优先级访问,并且使用时分多址访问方法调度它们的数据传输。此外,该提议的方案动态地调整竞争访问周期的长度,以确保节点可以在相同的超帧中完成其数据传输。使用网络仿真器工具(NS-2)可以完成仿真结果,并且相对于IEEE-802.15.4标准,它具有更高的效率。该提议的方案动态地调整竞争访问周期的长度,以确保节点可以在相同的超帧中完成其数据传输。使用网络仿真器工具(NS-2)可以完成仿真结果,并且相对于IEEE-802.15.4标准,它具有更高的效率。该提议的方案动态地调整竞争访问周期的长度,以确保节点可以在相同的超帧中完成其数据传输。使用网络仿真器工具(NS-2)可以完成仿真结果,并且相对于IEEE-802.15.4标准,它具有更高的效率。

更新日期:2021-02-25
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