Cross-layer application-specific wireless sensor network design with single-channel CSMA MAC over sense-sleep trees

Cross-layer application-specific wireless sensor network design with single-channel CSMA MAC over sense-sleep trees
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DOI:
10.1016/j.comcom.2006.01.019
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发表时间:
2006-11-08
影响因子:
6
通讯作者:
Shen, X. Sherman
Shen, X. Sherman
中科院分区:
计算机科学3区
文献类型:
--
作者:
Ha, Rick W.;Ho, Pin-Han;Shen, X. Sherman

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基于网状网的无线传感器网络(WSNs)由于其业务的普及性和自主性,是以合理的成本在大范围内提供持续监测功能的理想选择。然而,为无线传感器网络设计一种节能、经济、可靠的通信策略需要所有子层的紧密协作,这给数据、网络和电源管理领域带来了新的技术挑战。本文提出了一种基于跨层睡眠调度的组织方法,称为感知休眠树(SS-Trees),旨在协调各种工程问题,并提供一种方法来增加广域监控应用中基于Mesh的无线传感器网络的监控覆盖率和运行寿命。提出了一种迭代算法方法来确定可行的SS-Tree结构以实现这样的设计目标。基于计算的SS-树,可以设计最优的睡眠调度和流量工程措施来平衡感知需求、网络通信约束和能量效率。在信道接入方面,针对无线传感器网络特有的业务特点,选择了一种简单的带隐式确认的单信道CSMA MAC作为SS-Tree实现的补充。(C)2006爱思唯尔B.V.保留所有权利。
Because of their pervasiveness and autonomy in operation, mesh-based wireless sensor networks (WSNs) are an ideal candidate in offering sustained monitoring functions at reasonable cost over a wide area. However, devising an energy-efficient, cost-effective, and reliable communication strategy for WSNs requires tight collaboration of all of the sublayers, which introduces new technical challenges in the areas of data, network and power management. This paper proposes a cross-layer sleep scheduling-based organizational approach, called Sense-Sleep Trees (SS-Trees), that aims to harmonize the various engineering issues and provides a method of increasing monitoring coverage and operational lifetime of mesh-based WSNs engaged in wide-area surveillance applications. An iterative algorithmic approach is suggested to determine the feasible SS-Tree structures to achieve such design goals. Based on the computed SS-Trees, optimal sleep schedules and traffic engineering measures can be devised to balance sensing requirements, network communication constraints, and energy efficiency. For channel access, a simple single-channel CSMA MAC with implicit acknowledgements (IACKs) is selected to complement SS-Tree implementation because of its flexibility and adaptability in face of the unique operational characteristics of WSNs. (c) 2006 Elsevier B.V. All rights reserved.