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arXiv 2406.14965cs.NI
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能量感知随机接入网络:基于连接与基于分组的对比

Energy-Aware Random Access Networks: Connection-Based versus Packet-Based

Anshan Yuan, Fangming Zhao, Xinghua Sun

AI总结:

针对能量感知M2M随机接入网络最优能效表征与对比的难题,研究了基于连接和基于分组的两类Aloha方案的能效极限,推导并优化生存期吞吐量,明确了连接建立的有利判定标准。

摘要:

由于节点接入行为的分布式特性,表征并对比能量感知机器对机器(M2M)随机接入网络中的最优能量效率仍是一项挑战。为解决该问题,本文聚焦于两种典型随机接入方案——即基于连接的Aloha和基于分组的Aloha——的能量效率极限,并在此基础上开展性能对比。具体而言,通过结合有限能量约束与网络吞吐量,可推导出生存期吞吐量,并能通过选择传输概率,在保证目标生存期的前提下进一步优化该吞吐量。随后我们对基于分组的Aloha和基于连接的Aloha的最优生存期吞吐量展开对比研究,以明确有利于连接建立的判定标准。

英文摘要:

Characterizing and comparing the optimal energy efficiency in energy-aware machine-to-machine (M2M) random access networks remains a challenge due to the distributed nature of the access behavior of nodes. To address this issue, this letter focuses on the energy efficiency limits of two typical random access schemes, i.e., connection-based Aloha and packet-based Aloha, based on which we conducted a performance comparison. Specifically, by integrating limited energy constraints and network throughput, the lifetime throughput can be derived, and further optimized with a guarantee of targeted lifetime via selecting the transmission probability. Then we present a comparative study on the optimal lifetime throughput of packet-based Aloha and connection-based Aloha to characterize criteria for beneficial connection establishment.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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