A decentralized MAC layer protocol with periodic channel access for biomedical sensor networks

S. Støa, I. Balasingham
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引用次数: 9

Abstract

The use of biomedical sensor networks in complex clinical diagnostics and treatment may provide greater flexibility for both patient and the medical staff as some of the same sensors could follow the patient throughout the cycle of treatment. Biomedical sensors usually transmit periodically with known intervals and may require medium to higher data rates and lower packet drop rate than most traditional sensor networks. We propose a new method built on the IEEE 802.15.4 standard to enable higher throughput while keeping the packet drop rate at a minimum by utilizing the periodic behavior observed in such sensor networks. The simulation results show that, for certain scenarios, the average throughput compared to the IEEE 802.15.4 standard configuration can be doubled, while keeping the packet drop ratio at a minimum. Furthermore, by utilizing the property of periodic behavior, the channel efficiency has been improved from 30% to 50% compared to the standard IEEE 802.15.4 configuration. We show that the proposed method generates less protocol overhead and significantly reduces the chance of transmission errors due to colliding packets. Thus, it attains operational performance closer to saturation for a given packet discard ratio. Energy consumption due to retransmissions is reduced as the proposed algorithm greatly reduces collisions and requires few retransmissions. The proposed method requires minimum computational complexity and can be used on sensor nodes in a decentralized manner.
生物医学传感器网络中具有周期性信道访问的分散式MAC层协议
在复杂的临床诊断和治疗中使用生物医学传感器网络可以为患者和医务人员提供更大的灵活性,因为一些相同的传感器可以在整个治疗周期中跟踪患者。生物医学传感器通常以已知的间隔周期性地进行传输,与大多数传统传感器网络相比,可能需要中等到较高的数据速率和较低的丢包率。我们提出了一种基于IEEE 802.15.4标准的新方法,通过利用在此类传感器网络中观察到的周期性行为来实现更高的吞吐量,同时保持最小的丢包率。仿真结果表明,在某些场景下,与IEEE 802.15.4标准配置相比,平均吞吐量可以增加一倍,同时将丢包率保持在最小。此外,通过利用周期特性,与标准IEEE 802.15.4配置相比,信道效率从30%提高到50%。我们表明,该方法产生较少的协议开销,并显着减少了由于数据包碰撞而导致的传输错误的机会。因此,对于给定的包丢弃率,它获得更接近饱和的操作性能。由于该算法大大减少了碰撞,并且需要很少的重传,因此减少了重传带来的能量消耗。该方法计算复杂度最小,可以分散地应用于传感器节点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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