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首页> 外文期刊>Advances in Science, Technology and Engineering Systems >Resourceful Residual Energy Consumption in TDMA Scheduling for IoT-based Wireless Sensor Network
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Resourceful Residual Energy Consumption in TDMA Scheduling for IoT-based Wireless Sensor Network

机译：基于物联网的无线传感器网络在TDMA调度中的资源浪费

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Recently, wireless sensor network (WSN) gets more concern due to the robustness in the latest communication technology iteration such as big data, IoT and 5G. Such daily usage of these technologies includes smart home, smart farming, smart traffic control etc. Moreover, WSN becomes the best preference for mobile objects in data accumulating in a wild range area. Routing distance, signal interference and routing computational cost give a significant impact to the WSN nodes lifetime. Unsynchronized node time allocation slot and neighbor discovery are the main factors in the energy consumption issue faced by the WSN. Higher energy consumption reduces the network lifetime and WSN nodes performance. This paper discusses the optimization of energy-topology (E-T) factors for distributed time division multiplexing algorithm (TDMA) slot scheduling for high-speed data link capacity. The E-T factor is based on the influence of residual energy and topology on the time slot allocation. Both node residual energy and topology information have shown a respectable impact on the TDMA node slot allocation. Moreover, the numbers of neighbors and the network residual energy have been proved both nodes execution time and energy utilization can be reduced in the algorithm. The algorithm performance has been evaluated based on the previous experiment parameters with new high-speed data link. The experimental results have shown a significant improvement in residual energy consumption for the proposed optimized TDMA slot allocation.
机译：最近，由于最新通信技术（例如大数据，IoT和5G）的强大功能，无线传感器网络（WSN）引起了更多关注。这些技术的日常使用包括智能家居，智能农业，智能交通控制等。此外，WSN成为移动对象在野外区域累积数据的最佳选择。路由距离，信号干扰和路由计算成本对WSN节点的寿命产生重大影响。 WSN面临的能耗问题中，不同步的节点时间分配时隙和邻居发现是主要因素。较高的能耗会降低网络寿命和WSN节点性能。本文讨论了用于高速数据链路容量的分布式时分复用算法（TDMA）时隙调度的能量拓扑（E-T）因素的优化。 E-T因子基于剩余能量和拓扑结构对时隙分配的影响。节点剩余能量和拓扑信息都显示了对TDMA节点时隙分配的可观影响。此外，该算法还证明了邻居数和网络剩余能量，既减少了节点执行时间，又降低了能源利用率。已经基于先前的实验参数和新的高速数据链路对算法性能进行了评估。实验结果表明，对于建议的优化TDMA时隙分配，剩余能量消耗得到了显着改善。

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