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无线传感器网络中协作通信的能耗优化方法研究 总被引:2,自引:0,他引:2
针对能量受限的无线传感器网络,该文综合考虑了协作节点数量和调制方式对系统能量有效性的影响,提出一种能量最优的综合优化方法。文中首先给出了在Rayleigh衰落信道环境下,协作通信系统采用二相相移键控(BPSK)和M进制正交幅度调制(MQAM)时误码率的闭式表达,同时对协作通信的系统能耗进行了分析。在此基础上,根据能耗最小化原则对协作节点数量和调制方式进行了联合优化。仿真结果表明,与调制方式固定或协作节点数固定的系统相比,该方案能进一步降低协作通信的系统能耗。 相似文献
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能量受限是无线传感器网络一个显著的特征。对网络进行能耗优化并延长网络生命周期是无线传感器网络研究的重点。提出了面向能耗控制的无线传感器网络节点协议优化方法。针对网络中数据发送所占较大的能耗比重,通过对协议优化,对发送功率的参数设置方法进行改进,改变以往发射功率的固定参数设置法,通过终端节点之间的距离动态调整发送功率的方法,以达到节省能耗并延长网络生命周期的目的。仿真和实验结果表明,改进后的发射功率动态参数设置法较改进之前的固定参数设置方法能更多地节约网络能耗。 相似文献
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Recent technological advances have made it possible to support long lifetime and large volume streaming data transmissions
in sensor networks. A major challenge is to maximize the lifetime of battery-powered sensors to support such transmissions.
Battery, as the power provider of the sensors, therefore emerges as the key factor for achieving high performance in such
applications. Recent study in battery technology reveals that the behavior of battery discharging is more complex than we
used to think. Battery powered sensors might waste a huge amount of energy if we do not carefully schedule and budget their
discharging. In this paper we study the effect of battery behavior on routing for streaming data transmissions in wireless
sensor networks. We first give an on-line computable energy model to mathematically model battery discharge behavior. We show
that the model can capture and describe battery behavior accurately at low computational complexity and thus is suitable for
on-line battery capacity computation. Based on this battery model we then present a battery-aware routing (BAR) protocol to
schedule the routing in wireless sensor networks. The routing protocol is sensitive to the battery status of routing nodes
and avoids energy loss. We use the battery data from actual sensors to evaluate the performance of our protocol. The results
show that the battery-aware protocol proposed in this paper performs well and can save a significant amount of energy compared
to existing routing protocols for streaming data transmissions. Network lifetime is also prolonged with maximum data throughput.
As far as we know, this is the first work considering battery-awareness with an accurate analytical on-line computable battery
model in sensor network routing. We believe the battery model can be used to explore other energy efficient schemes for wireless
networks as well. 相似文献
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针对能量收集认知无线网络中的多跳中继传输问题,该文构建了一种新的具有主网络干扰的功率信标(PB)辅助能量收集认知多跳中继网络模型,并提出单向传输方案。在干扰链路统计信道状态信息场景下,推导了次网络精确和渐近总中断概率闭合式。针对精确总中断概率表达式的复杂性和非凸性,采用自适应混沌粒子群优化(ACPSO)算法对次网络总中断性能进行优化。仿真结果表明,PB功率、干扰约束、次网络跳数、能量收集比率、主接收端数目和信道容量阈值等参数对中断性能影响显著,所提算法能快速和有效地对网络中断性能进行优化。 相似文献
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文章研究了无线传感器网络中协作自动请求重传(Cooperative Automatic Repeat Request, CARQ)协议的能量效率及其优化问题。定义协议的能量效率为单位能耗所支持的分组成功传输的个数,导出了CARQ协议和传统ARQ协议的能量效率表达式以及CARQ协议相对ARQ协议的能效增益表达式,依此对两协议的能量效率进行了仿真研究,发现协作节点的位置对协议的能量效率有重要影响,当通信距离大于“门限距离”时,CARQ协议的能量效率才高于传统ARQ协议能效;进而提出了一种离散优化算法,通过优化调制水平,大大提高了CARQ协议的能效及能效增益。 相似文献
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Directional Controlled Fusion in Wireless Sensor Networks 总被引:3,自引:2,他引:1
Though data redundancy can be eliminated at aggregation point to reduce the amount of sensory data transmission, it introduces
new challenges due to multiple flows competing for the limited bandwidth in the vicinity of the aggregation point. On the
other hand, waiting for multiple flows to arrive at a centralized node for aggregation not only uses precious memory to store
these flows but also increases the delays of sensory data delivery. While traditional aggregation schemes can be characterized
as “multipath converging,” this paper proposes the notation of “multipath expanding” to solve the above problems by jointly
considering data fusion and load balancing. We propose a novel directional-controlled fusion (DCF) scheme, consisting of two
key algorithms termed as directional control and multipath fusion. By adjusting a key parameter named multipath fusion factor
in DCF, the trade-offs between multipath-converging and multipath-expanding can be easily achieved, in order to satisfy specific
QoS requirements from various applications. We present simulations that verify the effectiveness of the proposed scheme.
Min Chen received the Ph.D degree in Electrical Engineering from South China University of Technology in 2004, when he was 23 years old. Since Mar. 2006, he is Post-Doctoral Fellow in Department of Electrical and Computer Engineering at University of British Columbia. Before joining UBC, he has been a Post-Doctoral Fellow in School of Computer Science and Engineering at Seoul National University for one and half years. Dr. Chen’s research interests include algorithmic, optimization and performance issues in wireless ad hoc and sensor networks and multimedia communications over wireless networks. He was interviewed by Chinese Canadian Times where he appeared on the celebrity column in 2007. He is the author of a textbook OPNET Network Simulation (Tsinghua Univ. Press, 2004). Dr. Chen received the Best Paper Runner-up Award from The Fifth International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine) 2008. Victor C.M. Leung received the B.A.Sc. (Hons.) and PhD degrees, both in electrical engineering, from the University of British Columbia (UBC) in 1977 and 1981, respectively. He was the recipient of many academic awards, including the APEBC Gold Medal as the head of the 1977 graduate class in the Faculty of Applied Science, UBC, and the NSERC Postgraduate Scholarship. From 1981 to 1987, Dr. Leung was a Senior Member of Technical Staff and satellite systems specialist at MPR Teltech Ltd. In 1988, he was a Lecturer in Electronics at the Chinese University of Hong Kong. He returned to U.B.C. as a faculty member in 1989, where he is a Professor and holder of the TELUS Mobility Research Chair in Advanced Telecommunications Engineering in the Department of Electrical and Computer Engineering. His research interests are in mobile systems and wireless networks. Dr. Leung is a Fellow of IEEE and a voting member of ACM. He is an editor of the IEEE Transactions on Wireless Communications, an associate editor of the IEEE Transactions on Vehicular Technology, and an editor of the International Journal of Sensor Networks. Shiwen Mao received the Ph.D. degree in Electrical and Computer Engineering (ECE) from Polytechnic University, Brooklyn, NY in 2004. He was a Research Scientist at Virginia Tech, Blacksburg, VA from December 2003 to April 2006. Currently, he is an Assistant Professor in ECE at Auburn University, Auburn, AL. Dr. Mao’s research interests include modeling and optimization of wireless networks, cognitive networks, and multimedia communications. He is on the Editorial Board of the Hindawi Advances in Multimedia Journal and the Wiley International Journal of Communication Systems. Dr. Mao received the 2004 IEEE Communications Society Leonard G. Abraham Prize in the Field of Communications Systems and the Best Paper Runner-up Award from The Fifth International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine) 2008. He is the co-author of a textbook TCP/IP Essentials: A Lab-Based Approach (Cambridge Univ. Press, 2004). 相似文献
Min ChenEmail: |
Min Chen received the Ph.D degree in Electrical Engineering from South China University of Technology in 2004, when he was 23 years old. Since Mar. 2006, he is Post-Doctoral Fellow in Department of Electrical and Computer Engineering at University of British Columbia. Before joining UBC, he has been a Post-Doctoral Fellow in School of Computer Science and Engineering at Seoul National University for one and half years. Dr. Chen’s research interests include algorithmic, optimization and performance issues in wireless ad hoc and sensor networks and multimedia communications over wireless networks. He was interviewed by Chinese Canadian Times where he appeared on the celebrity column in 2007. He is the author of a textbook OPNET Network Simulation (Tsinghua Univ. Press, 2004). Dr. Chen received the Best Paper Runner-up Award from The Fifth International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine) 2008. Victor C.M. Leung received the B.A.Sc. (Hons.) and PhD degrees, both in electrical engineering, from the University of British Columbia (UBC) in 1977 and 1981, respectively. He was the recipient of many academic awards, including the APEBC Gold Medal as the head of the 1977 graduate class in the Faculty of Applied Science, UBC, and the NSERC Postgraduate Scholarship. From 1981 to 1987, Dr. Leung was a Senior Member of Technical Staff and satellite systems specialist at MPR Teltech Ltd. In 1988, he was a Lecturer in Electronics at the Chinese University of Hong Kong. He returned to U.B.C. as a faculty member in 1989, where he is a Professor and holder of the TELUS Mobility Research Chair in Advanced Telecommunications Engineering in the Department of Electrical and Computer Engineering. His research interests are in mobile systems and wireless networks. Dr. Leung is a Fellow of IEEE and a voting member of ACM. He is an editor of the IEEE Transactions on Wireless Communications, an associate editor of the IEEE Transactions on Vehicular Technology, and an editor of the International Journal of Sensor Networks. Shiwen Mao received the Ph.D. degree in Electrical and Computer Engineering (ECE) from Polytechnic University, Brooklyn, NY in 2004. He was a Research Scientist at Virginia Tech, Blacksburg, VA from December 2003 to April 2006. Currently, he is an Assistant Professor in ECE at Auburn University, Auburn, AL. Dr. Mao’s research interests include modeling and optimization of wireless networks, cognitive networks, and multimedia communications. He is on the Editorial Board of the Hindawi Advances in Multimedia Journal and the Wiley International Journal of Communication Systems. Dr. Mao received the 2004 IEEE Communications Society Leonard G. Abraham Prize in the Field of Communications Systems and the Best Paper Runner-up Award from The Fifth International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine) 2008. He is the co-author of a textbook TCP/IP Essentials: A Lab-Based Approach (Cambridge Univ. Press, 2004). 相似文献
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为了提高无线传感器网络的稳定期,提出了一种高效节能的加权选举协议。该协议使用集群策略结合链状路由算法,在异构的无线传感器网络环境下改善节能并且延长稳定期。仿真结果表明该协议在网络寿命和稳定期方面的性能都优于LEACH,SEP和HEARP。另外,实验表明在异构环境下稳定期依赖于节点的额外能量。 相似文献
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An Energy-Efficient Routing and Self-Organization Algorithm in Wireless Sensor Networks 总被引:3,自引:5,他引:3
LIU Li-feng ZOU Shi-hong ZHANG Lei CHENG Shi-duan State Key Laboratory of Networking Switching Beijing University of Posts Telecommunications Beijing P.R. China 《中国邮电高校学报(英文版)》2005,12(2)
1IntroductionAs the development of MEMStechnology,the microsensors whichintegrate manyfunctions such as sensing,signal processing and communication have been widelyused[1]. Wireless Sensor Network ( WSN) is construct-ed with hundreds to thousands of sensors and one ormore SINKs .Sensors can sense (monitor) many physi-cal signals such as sound,light ,electronics ,tempera-ture and humidity of the objects in a given region[2 ~3].Sensors transfer these signalsinto sensing data and sendsensin… 相似文献
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无线传感器网络的覆盖优化机制研究 总被引:1,自引:0,他引:1
如何实现最优覆盖是无线传感器组网的一个基本问题.文章分析了传感器覆盖问题的背景,给出了节点调度方案的主要方法和技术原理,探讨了基于网络能量高效的覆盖优化与网络连通性之间的关系,重点阐述了实现区域覆盖和点覆盖的机制.对于覆盖薄弱地区,文章提出了采用分簇方式将覆盖地区划分成许多子区域或簇,用动态移动修复机制提供细粒度的网络监测与覆盖控制.文章认为调度传感器节点在休眠和活动模式之间进行切换,是一种重要节能方法;对于资源受限且拓扑动态变化的无线传感器网络,宜采用分布式和局部化的覆盖控制协议和算法. 相似文献
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对于能量有限的无线传感器网络,研究如何高效地利用有限能量具有重要意义.根据无线传感器网络多跳路由和拓扑易变的特点,提出一种基于任务驱动的含反馈的动态电压调节算法FB-DVS.该算法根据节点的任务集实时地调节节点的工作电压和频率,并通过反馈环节来修正误差,在保证任务实时性的前提下降低节点能耗.通过对仿真结果分析表明,改进的算法能有效地减少节点的能量消耗,延长无线传感器网络的生命周期. 相似文献
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为了解决无线传感器网络的能耗不均衡问题,提出了一种基于蚁群算法(ACO)的自适应能量均衡路由算法(EBEA).该算法将节点的能量密度融入到启发因子中,利用蚂蚁的动态适应性在全局范围内寻求最优路径让网络达能量均衡的效果.仿真实验结果表明,与LEACH算法相比,该算法能够均衡整个网络的能耗,并有效的避免了网络分割或者"能量空洞"现象,延长网络的生命周期. 相似文献
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Azzedine Boukerche Anahit Martirosyan Richard Pazzi 《Mobile Networks and Applications》2008,13(6):614-626
The ambient intelligence paradigm is built upon Ubiquitous Computing (UC), in which the computing devices are embedded in
the environment with the purpose of enhancing the human experience at home, workplace/office, learning, health care etc. The
UC applications aim at providing services to the users anywhere, anytime in an unobtrusive, seemingly invisible way. Wireless
sensor networks (WSNs) have great potential for UC applications and are envisioned to revolutionize them. This paper presents
a clustering routing protocol for event-driven, query-based and periodic WSNs. The protocol aims at optimizing energy dissipation
in the network as well as providing network’s fault tolerance and connectivity. Message propagation is accomplished by using
short distance transmissions by employing nearest neighbor nodes between neighboring clusters. Moreover, the algorithm proposes
using an energy efficient approach by alternating the nodes responsible for inter-cluster communication inside one cluster.
The algorithm also aims at even energy dissipation among the nodes in the network by alternating the possible routes to the
Sink. This helps to balance the load on sensor nodes and increases the network lifetime, while avoiding congested links at
the same time. We discuss the implementation of our protocol, present its proof of correctness as well as the performance
evaluation through an extensive set of simulation experiments.
This work is partially sponsored by Grants from the NSERC, Canada Research Chairs Program, ORNEC, the Ontario Distinguished
Researcher Award and the EAR Award. 相似文献
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In this paper, a scalable priority-based multi-path routing protocol (PRIMP) is proposed for wireless sensor networks to offer extended network lifetime and robust network fault tolerance, under the context of stringent energy constraint and vulnerability of sensors to dynamic environmental conditions. A novel interest dissemination strategy which invokes an on-demand virtual source technique is designed in PRIMP to minimize communication overheads and energy wastage. In routing, data traffic is distributed over multiple braided data paths simultaneously by a priority-based probabilistic approach at each hop to achieve the robustness against the unreliable transmission due to frequent node failures. Extensive simulations validate that PRIMP exhibits significantly better performance in energy conservation, load-balancing and data delivery than comparable schemes, while at the same time PRIMP achieves a nice scalability feature in terms of energy dissipation with various network sizes and network densities. Last but not least, PRIMP addresses the slow startup problem that is prevalent in data-centric routing schemes. 相似文献
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无线传感器网络是资源受限的网络,网络中节点较简单且差异小,在许多应用背景中对实时性要求较高。而传统的分层网络体系开销较大且灵活性不高,跨层技术的产生可以弥补这些不足。论文分别从实时性、收集信息需要这两方面提出新的基于跨层技术的网络设计方案,以满足不同应用的需求。 相似文献