MINIMIZING DELAY AND MAXIMIZING LIFETIME FOR WIRELESS SENSOR NETWORKS WITH ANYCAST 

Abhay Raman, A. Rai
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引用次数: 10

Abstract

In this paper, we are interested in minimizing the delay and maximizing the lifetime of event-driven wireless sensor networks, for which events occur infrequently. In such systems, most of the energy is consumed when the radios are on, waiting for an arrival to occur. Sleep-wake scheduling is an effective mechanism to prolong the lifetime of these energy-constrained wireless sensor networks. However, sleep-wake scheduling could result in substantial delays because a transmitting node needs to wait for its next-hop relay node to wake up. An interesting line of work attempts to reduce these delays by developing any cast.-based packet forwarding schemes, where each node opportunistically forwards a packet to the neighboring node that wakes up among multiple candidate nodes. In this paper, we first study how to optimize the any cast forwarding schemes for minimizing the expected packet-delivery delays from the sensor nodes to the sink. Based on this result, we then provide a solution to the joint control problem of how to optimally control the system parameters of the sleep-wake scheduling protocol and the any cast packet-forwarding protocol to maximize the network lifetime, subject to a constraint on the expected end to end packet-delivery delay. Our numerical results indicate that the proposed solution can outperform prior heuristic solutions in the literature, especially under the practical scenarios where there are obstructions, e.g., a lake or a mountain, in the coverage area of wireless sensor networks.
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最小化延迟和最大化寿命无线传感器网络与任播
在本文中,我们感兴趣的是最小化延迟和最大化事件驱动的无线传感器网络的生命周期,因为事件发生的频率不高。在这样的系统中,大部分能量是在无线电打开等待到达时消耗的。睡眠-觉醒调度是延长能量受限无线传感器网络寿命的有效机制。然而,睡眠-唤醒调度可能会导致大量延迟,因为传输节点需要等待其下一跳中继节点唤醒。一项有趣的工作试图通过开发任何铸件来减少这些延迟。基于的数据包转发方案,其中每个节点机会地将数据包转发到多个候选节点中唤醒的相邻节点。在本文中,我们首先研究了如何优化任意的cast转发方案,以最小化从传感器节点到接收器的预期数据包传递延迟。在此基础上,提出了如何在端到端预期的数据包传输延迟约束下,最优控制睡眠-唤醒调度协议和任意播包转发协议的系统参数以最大化网络生存期的联合控制问题的解决方案。数值结果表明,该方法优于文献中已有的启发式方法,特别是在无线传感器网络覆盖区域存在障碍物(如湖泊或山脉)的实际场景下。
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