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Link Scheduling in a Single Broadcast Domain Underwater Networks

机译:单个广播域水下网络中的链接调度

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Due to the high propagation latency and high power consumption of acoustic communications, scheduling techniques designed for terrestrial radio-based systems, may not be suitable for underwater acoustic sensor networks (UWASN). In this paper, we consider how to time schedule each link in a single broadcast domain. We show that, unlike its terrestrial RF counterpart, this problem is NP-complete, and the hard-to-approximate ratio is presented. Due to the intractability and inflexibility of centralized scheduling policies, and the high communication energy overhead of reservation-based strategies, we further investigate the performance of an ALOHA-like access scheme, which is distributed, randomized and requires no topology knowledge. According to our analysis, although the random scheduling policy that picks transmission times uniformly in a given interval is throughput optimal for terrestrial radio-based systems, it performs poorly in underwater acoustic networks. We thereby seek for the throughput-optimal, distributed random policy by solving a nonlinear optimization problem. We present an extensive comparison between this policy and the uniform one, with respect to different packet lengths, scheduling length, and network density. We show that the optimal solution offers substantial improvements in throughput, particularly for long packets.
机译:由于高传播延迟和声学通信的高功耗,为地面无线电系统设计的调度技术可能不适用于水下声学传感器网络(UWASN)。在本文中,我们考虑如何在单个广播域中时间计划每个链接。我们展示,与其地面RF对应物不同,这个问题是NP完整的,并且呈现难以达到的比例。由于集中调度政策的富侵扰性和令人厌恶,以及基于预约的策略的高通信能量开销,我们进一步调查了一种类似Aloha的访问方案的性能,该方案分布式,随机化,不需要拓扑知识。根据我们的分析,虽然在给定间隔中均匀地均匀地选择传输时间的随机调度策略是基于地面无线电的系统的吞吐量,但它在水下声学网络中表现不佳。因此,我们通过解决非线性优化问题来寻求吞吐量最佳分布式随机策略。对于不同的分组长度,调度长度和网络密度,我们在此策略与统一之一之间具有广泛的比较。我们表明最佳解决方案提供了吞吐量的大量改进,特别是对于长数据包。

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