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ETRT - Cross layer model for optimizing transmission range of nodes in low power wireless networks - An Internet of Things Perspective

机译：ETRT-用于优化低功率无线网络中节点传输范围的跨层模型-物联网视角

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摘要

Internet of Things network is managed by battery operated devices and low power radio links since they are referred to low power networks. In present communication era, many research works are concentrating on low power wireless network. Cross layer design is one of the acclaimed technique that decidedly improves the network performance. In this article, we come up with the cross-layer model that satisfies distinct network requirements and prolongs network lifetime. It integrates physical layer, data link layer (Media Access Control) and network layer in the protocol stack. In our model, a threshold value called ETRT (Expected Transmission Range Threshold) is introduced, which is computed with the help of routing information. Later, MAC based power control technique utilizes the ETRT value and assigns optimum transmission range for every node. The idea at the heels of proposed cross layer model is estimating the capability (ETRT value) of the particular node and assigning the suitable transmission power for every node, based on its capability (ETRT value). Hence, assigning optimum transmission power based on ETRT information prolongs the network lifetime with better reliability and Quality of Service(QoS). From our results, it is noticed that the ETRT based cross layer model performs twice better than the standard model.
机译：物联网网络由电池供电的设备和低功率无线电链路管理，因为它们被称为低功率网络。在当前的通信时代，许多研究工作集中在低功率无线网络上。跨层设计是一种可以显着提高网络性能的广受赞誉的技术。在本文中，我们提出了可以满足不同网络要求并延长网络寿命的跨层模型。它在协议栈中集成了物理层，数据链路层（媒体访问控制）和网络层。在我们的模型中，引入了称为ETRT（预期传输范围阈值）的阈值，该阈值是借助路由信息来计算的。后来，基于MAC的功率控制技术利用ETRT值并为每个节点分配最佳传输范围。提出的跨层模型之后的想法是估计特定节点的能力（ETRT值），并根据其能力（ETRT值）为每个节点分配合适的传输功率。因此，基于ETRT信息分配最佳传输功率可以延长网络寿命，并具有更好的可靠性和服务质量（QoS）。从我们的结果可以看出，基于ETRT的跨层模型的性能是标准模型的两倍。

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