无线传感器网络多频率查询的节能优化

在多频率查询的无线传感器网络中,多个接收节点以不同的查询频率请求同一个数据源节点的数据.由于查询频率的不同,如何共享传输链路以降低能耗成为一个新的研究问题.考虑数据序列之间的数据相关性,本文提出了一种节能优化方法,通过在共享链路上广播整合频率的数据序列,再根据需要重构出与查询请求相对应的数据序列.理论分析和模拟实验均表明,在可容忍的平均相对误差下,该方法能够节省能量的消耗.     

Energy-Efficient Scheduling for Wireless Sensor Networks

We consider the problem of minimizing the energy needed for data fusion in a sensor network by varying the transmission times assigned to different sensor nodes. The optimal scheduling protocol is derived, based on which we develop a low-complexity inverse-log scheduling (ILS) algorithm that achieves near-optimal energy efficiency. To eliminate the communication overhead required by centralized scheduling protocols, we further derive a distributed inverse-log protocol that is applicable to networks with a large number of nodes. Focusing on large-scale networks with high total data rates, we analyze the energy consumption of the ILS. Our analysis reveals how its energy gain over traditional time-division multiple access depends on the channel and the data-length variations among different nodes.     

基于MIMO的节能无线传感器网络

当今无线传感器网络主要是同构网络,即网络中传感器节点结构相同,该结构不适合基于组的传感器网络.本文通过使用多天线传感器节点作为无线传感器网络中的组长节点将MIMO和SIMO方式引入组间层和组内层组员与组长之间的通讯.文中介绍了该异构网络的基本通讯机制并对其实现进行了讨论,并提出了MIMO的传感器网络功耗和延迟模型.通过模拟实验验证了该模型优于同构网络.     

An Energy-Efficient OOK Transceiver for Wireless Sensor Networks

A 1-Mb/s 916.5-MHz on-off keying (OOK) transceiver for short-range wireless sensor networks has been designed in a 0.18-mum CMOS process. The receiver has an envelope detection based architecture with a highly scalable RF front-end. Untuned RF circuits are leveraged and optimized in the receiver to achieve superior energy efficiency compared to tuned RF circuits. The receiver power consumption scales from 0.5 mW to 2.6 mW, with an associated sensitivity of -37 dBm to -65 dBm at a BER of 10 ^-3. The transmitter consumes 3.8 mW to 9.1 mW with output power from -11.4 dBm to -2.2 dBm. The receiver achieves a startup time of 2.5 mus, allowing for efficient duty cycling     

Energy-Efficient Route Selection Strategies for Wireless Sensor Networks

Wireless Sensor Networks (WSNs) facilitate monitoring and controlling of physical environments from remote locations with the best possible accuracy. Sensor networks are wireless networks consisting of groups of small, inexpensive nodes, which collect and disseminate critical data. Also, sensor nodes have various energy and computational constraints due to their inexpensive nature and ad hoc method of deployment. Considerable research has been focused on overcoming these deficiencies through low-energy consumption schemes. Among other factors, the route selection strategy may have an impact on the sensors lifetime, and following on the network lifetime. In this paper, we study various route selection strategies that aim at prolonging the lifetime of WSNs. Also, a new route selection scheme is proposed, that increases further the network lifetime. The performance of these schemes is analyzed through simulation.     

基于等概率路由模型的传感器网络负载均衡研究

无线传感器网络的能耗效率与流量负载分布密切相关。论文从微观角度研究了无线传感器网络的负载均衡问题。基于等概率路由模型,分析了拓扑传输结构对于感知数据流量的分流作用。根据分析结果,提出了多对一传输模式下任意节点负载密度的定义和算法。分析了节点的负载密度与传感器网络生命期的关系,进一步论证了在多对一的多跳传感器网络中不能实现完全的负载均衡,但是通过设计合理的拓扑结构可以实现准负载均衡。仿真结果说明,从微观角度得到的节点负载密度可以准确描述无线传感器网络的流量负载分布,由此得到的准负载均衡条件也能实现绝大多数节点的负载均衡。     

传感器网络中的节能参与度模型

为提出节能的传感器网络协议,本文研究了节点参与度模型.我们细化了无线传感器网络中的协议层次,将网络层分为邻域发现,动态参与度模型和路由协议.我们具体化了邻域发现协议,引入随机参数重构了参与度模型,给出了相应的网络启动方式并使用数学分析、模拟程序验证了此模型.     

An Energy-Efficient Threshold-Based Clustering Protocol for Wireless Sensor Networks

Energy-constrained wireless sensor networks (WSNs) have been deployed widely for monitoring and surveillance purposes. Since sensor nodes (SNs) have significant power constraints (battery life), energy-efficient protocols must be employed to prolong the network lifetime. In this paper, we propose an energy-efficient protocol which provides a new way of creating distributed clusters. This protocol is a modified version of Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. The experimental results show that our protocol that takes into account both the residual energy at each SN and the distance between the SNs outperforms LEACH protocol in terms of first node death time and average residual energy.     

无线传感器网络中一种动态节能的MAC协议

媒体访问控制(MAC)协议是无线传感器网络的关键协议之一,它对无线传感网络的运行和性能具有重要的影响.针对基于簇的TDMA机制存在问题,文中提出了一个动态节能的DE-MAC协议,该协议能够根据簇成员节点数目和通信负载动态地分配成员节点的时隙,减少节点的空闲侦听时间.仿真结果表明,DE-MAC协议能够有效地提高信道的利用率和网络能量有效性.     

Integrated Load Balancing and Void Healing Routing with Cuckoo Search Optimization Scheme for Underwater Wireless Sensor Networks

Wireless Personal Communications - In underwater wireless sensor networks, routing play a vital role in selecting an optimal path for packet forwarding. In routing scheme, most of the existing work...     

Shuffled Complex Evolution Approach for Load Balancing of Gateways in Wireless Sensor Networks

Wireless Personal Communications - Energy consumption is one of the important factor of Wireless Sensor Networks (WSN). It has much attention in many fields. From recent studies, it is observed...     

Energy-Efficient Routing for Signal Detection in Wireless Sensor Networks

For many envisioned applications of wireless sensor networks (WSNs), the information processing involves dealing with distributed data in the context of accurate signal detection and energy-efficient routing, which have been active research topics for many years, respectively. In this paper, we relate these two aspects via joint optimization. Considering the scenario of using distributed radar-like sensors to detect the presence of an object through active sensing, we formulate the problem of energy- efficient routing for signal detection under the Neyman–Pearson criterion, apparently for the first time. The joint optimization of detection and routing is carried out in a fusion center which precomputes the routes as a function of the geographic location to be monitored. Accordingly, we propose three different routing metrics that aim at an appropriate tradeoff between the detection performance and the energy expenditure. In particular, each metric relates the detection performance explicitly in terms of probabilities of detection and false alarm, with the energy consumed in sensing and routing. The routing problems are formulated as combinatorial optimization programs, and we provide solutions drawing on operations research. We present extensive simulation results that demonstrate the energy and detection performance tradeoffs for each proposed routing metric.      

A Low-Overhead Energy-Efficient ARQ Protocol for Wireless Sensor Networks

Wireless sensor network （WSN） is a typical kind of low-power and lossy network, in where ARQ （Automatic Repeat reQuest） schemes are often used to improve packets reliability. However, the ARQ related packets may incur significant load and consume more energy. This paper proposes a novel energy efficient ARQ protocol called ARQ＋, which uses the nearest-first scheme and NAK aggregation scheme to reduce the amount and transmission hops of the ARQ related packets. Consequently, the energy consumption is significantly decreased. Theoretical analyses of ARQ＋ on energy consumption, packet arrive ratio and latency are provided. Performance improvement of ARQ＋ is validated by extensive simulations. They both show that ARQ＋ has satisfactory energy efficiency, good packets arriving ratio and reasonable average packet delay comparing to traditional ARQ schemes.     

An Energy-Efficient Routing Protocol for Event-Driven Dense Wireless Sensor Networks

The routing energy efficiency of a wireless sensor network is a crucial issue for the network lifetime. In this article, we propose MICRO (MInimum Cost Routing with Optimized data fusion), an energy-efficient routing protocol for event-driven dense wireless sensor networks. The proposed routing protocol is an improvement over the formerly proposed LEACH and PEGASIS protocol, which is designed to be implemented mainly with node computations rather than mainly with node communications. Moreover, in the routing computation the proposed scheme exploits a new cost function for energy balancing among sensor nodes, and uses an iterative scheme with optimized data fusions to compute the minimum-cost route for each event-detecting sensor node. Compared to the PEGASIS routing protocol, MICRO substantially improves the energy-efficiency of each route, by optimizing the trade-off between minimization of the total energy consumption of each route and the balancing of the energy state of each sensor node. It is demonstrated that the proposed protocol is able to outperform the LEACH and the PEGASIS protocols with respect to network lifetime by 100–300% and 10–100%, respectively.     

Energy-Efficient, Collision-Free Medium Access Control for Wireless Sensor Networks

The traffic-adaptive medium access protocol (TRAMA) is introduced for energy-efficient collision-free channel access in wireless sensor networks. TRAMA reduces energy consumption by ensuring that unicast and broadcast transmissions incur no collisions, and by allowing nodes to assume a low-power, idle state whenever they are not transmitting or receiving. TRAMA assumes that time is slotted and uses a distributed election scheme based on information about traffic at each node to determine which node can transmit at a particular time slot. Using traffic information, TRAMA avoids assigning time slots to nodes with no traffic to send, and also allows nodes to determine when they can switch off to idle mode and not listen to the channel. TRAMA is shown to be fair and correct, in that no idle node is an intended receiver and no receiver suffers collisions. An analytical model to quantify the performance of TRAMA is presented and the results are verified by simulation. The performance of TRAMA is evaluated through extensive simulations using both synthetic- as well as sensor-network scenarios. The results indicate that TRAMA outperforms contention-based protocols (CSMA, 802.11 and S-MAC) and also static scheduled-access protocols (NAMA) with significant energy savings. This work was supported in part by the NSF-NGI grant number ANI-9813724 and by the Jack Baskin Chair of Computer Engineering at UCSC. Venkatesh Rajendran received the B.E. degree in Electronics and Communication Engineering from the Anna University in 2001, and M.S. in Computer Engineering from the University of California, Santa Cruz (UCSC) in 2003. He is currently working towards his Ph.D at UCSC. He is a graduate student researcher at the Inter-networking Research Lab (INRG). His research interests are in wireless communication system design, energy-aware media access control protocols for wireless ad hoc networks, smart sensor networks, reliable multi-casting, wireless multi-carrier communications, digital signal processing, adaptive modulation, and smart antenna systems. Katia Obraczka received the B.S. and M.S. degrees in electrical and computer engineering from the Federal University of Rio de Janeiro, Brazil, and the M.S. and Ph.D. degrees in computer science from the University of Southern California (USC). She is an Assistant Professor of Computer Engineering at the University of California, Santa Cruz. Before joining UCSC, she held a research scientist position at USC's Information Sciences Institute and a research faculty appointment at USC's Computer Science Department. Her research interests include computer networks, more specifically, network protocol design and evaluation in wire-line as well as wireless (in particular, multi-hop ad hoc) networks, distributed systems, and Internet information systems. J.J. Garcia-Luna-Aceves received the M.S. and Ph.D. degrees in electrical engineering from the University of Hawaii, Honolulu, HI, in 1980 and 1983, respectively. He is the Baskin Professor of Computer Engineering at the University of California, Santa Cruz (UCSC). Dr. Garcia-Luna-Aceves directs the Computer Communication Research Group (CCRG), which is part of the Information Technologies Institute of the Baskin School of Engineering at UCSC. He has been a Visiting Professor at Sun Laboratories and a consultant on protocol design for Nokia. Prior to joining UCSC in 1993, he was a Center Director at SRI International (SRI) in Menlo Park, California. Dr. Garcia-Luna-Aceves has published a book and more than 250 refereed papers and three U.S patents, and has directed more than 18 Ph.D. theses at UCSC. He has been Program Co-Chair of ACM MobiHoc 2002 and ACM Mobicom 2000; Chair of the ACM SIG Multimedia; General Chair of ACM Multimedia '93 and ACM SIGCOMM '88; and Program Chair of IEEE MULTIMEDIA '92, ACM SIGCOMM '87, and ACM SIGCOMM '86. He has served in the IEEE Internet Technology Award Committee, the IEEE Richard W. Hamming Medal Committee, and the National Research Council Panel on Digitization and Communications Science of the Army Research Laboratory Technical Assessment Board. HE has been on the editorial boards of the IEEE/ACM Transactions on Networking, the Multimedia Systems Journal, and the Journal of High Speed Networks. He received the SRI International Exceptional-Achievement Award in 1985 and 1989, and is a senior member of the IEEE.     

无线传感网络量化及能量优化策略

由于无线传感网络(WSN)存在能量和带宽的限制,在网络中直接传送模拟信号受到了极大地制约,因此对模拟信号量化是节省网络能量和保证有效带宽的重要手段。为此,该文以融合中心的重构绝对均值误差最小为原则,设计一种网络量化及能量优化方法。首先,针对单传感器,在能量固定的情况下推导了最优量化位数及在量化位数固定的情况下推导了最优能量分配。其次,在单传感器的基础上,进一步推导多传感器情况下最优量化位数及最优能量分配。以上两种情况都考虑了传感器测量噪声及信道衰落损耗。最后,通过数值仿真方法验证了文中所提方法的正确性,并将其与等能量分配进行了比较,获得了较好的效果。

     

Energy-Efficient Routing Mechanism for Mobile Sink in Wireless Sensor Networks Using Particle Swarm Optimization Algorithm

Wireless Personal Communications - One of the most effective approaches to increase the lifetime of wireless sensor networks (WSNs), is the use of a mobile sink to collect data from sensor. In...     

Tree-Based Threshold-Sensitive Energy-Efficient Routing Approach For Wireless Sensor Networks

Wireless Personal Communications - The widespread use of wireless sensor devices and their advancements in terms of size, deployment cost and user friendly interface have given rise to many...