Статьи и книги на английском языке по активному и быстроразвивающемуся направлению "Сети беспроводных датчиков". От хорошо известных беспроводных сетей Bluetooth, WiFi, ZigBee, конечные устройства сетей WSN отличаются малым временем работы в активном режиме и малым потреблением энергии.
|1||Edgar H. Callaway||Wireless Sensor Networks: Architectures and Protocols|
|2||Yossef Chraibi||Localization in Wireless Sensor Networks|
|3||Adam Dunkels||Poster Abstract: Rime — A Lightweight Layered Communication Stack for Sensor Networks|
|4||Anna Hac||Wireless Sensor Network Designs|
|5||Su Ping||Delay Measurement Time Synchronization for Wireless Sensor Networks|
|6||Jagannathan Sarangapani||Wireless Ad Hoc and Sensor Networks. Protocols, Performance, and Control|
|7||Mohamed Hefeeda and other||A Probabilistic Coverage Protocol for Wireless Sensor Networks|
|8||Alec Woo, David E. Culler||A Transmission Control Scheme for Media Access in Sensor Networks|
|9||Sartaj Sahni, Xiaochun Xu||Algorithms For Wireless Sensor Networks|
|10||Tijs van Dam, Koen Langendoen||An Adaptive Energy-Efﬁcient MAC Protocol for Wireless Sensor Networks|
|11||Deva Seetharam, Sokwoo Rhee||An Efﬁcient Random Number Generator for Low-Power Sensor Networks|
|12||Wei Ye and other||An Energy-Efﬁcient MAC Protocol for Wireless Sensor Networks|
|13||M. Z. Siam and other||An Overview Of MIMO-Oriented Channel Access In Wireless Networks|
|14||Sokwoo Rhee and other||i-Bean Network: An Ultra-low Power Wireless Sensor Network|
|15||Sutharshan Rajasegarar and other||Anomaly Detection in Wireless Sensor Networks|
|16||Venkatesh Rajendran and other||Energy-Efﬁcient, Collision-Free Medium Access Control for Wireless Sensor Networks|
|17||Roberto Verdone, Chiara Buratti||Modelling for Wireless Sensor Network Protocol Design|
|18||James Brown and other||Network Interrupts: Supporting Delay Sensitive Applications in Low Power Wireless Control Networks|
|19||Rodrigo Roman and other||On the Security of Wireless Sensor Networks|
|20||Eugene Shih and other||Physical Layer Driven Protocol and Algorithm Design for Energy-Efﬁcient Wireless Sensor Networks|
|21||Holger Karl, Andreas Willig||Protocols and architectures for wireless sensor networks|
|22||Chieh-Yih Wan and other||PSFQ: A Reliable Transport Protocol for Wireless Sensor Networks|
|23||Adrian Perrig and other||Security In Wireless Sensor Networks|
|24||Sokwoo Rhee and other||Techniques for Minimizing Power Consumption in Low Data-Rate Wireless Sensor Networks|
|25||Kay Romer and other||Time Synchronization and Calibration in Wireless Sensor Networks|
|26||Adam Dunkels and other||Time Synchronization for Predictable and Secure Data Collection in Wireless Sensor Networks|
|27||Jeremy Elson, Deborah Estrin||Time Synchronization forWireless Sensor Networks|
|28||Saurabh Ganeriwal and other||Timing-sync Protocol for Sensor Networks|
|29||Suyoung Yoon and other||Tiny-Sync: Tight Time Synchronization for Wireless Sensor Networks|
|30||Joseph Polastre and other||Versatile Low Power Media Access for Wireless Sensor Networks|
|31||Mark A. Perillo and other||Wireless Sensor Network Protocols|
|32||Various Authors||Wireless Sensor Networks and Applications|
|33||Various Authors||Sensor Networks and Configuration|
Edgar H. Callaway
CRC Press © 2004 (350 pages)
This informative text describes how to build wireless sensor networks from the layers of the communication protocol through the design of network nodes. It also describes the design features of the wireless devices themselves.
This thesis work is carried out on the wireless automation testbed at the S3. Focusing on localization processes, we will ﬁrst give an overview of the state of the art in this area. From the various techniques, one idea was found to have signiﬁcant bearing for the development of a new algorithm.
Rime is designed to simplify the implementation of communication protocols. A preliminary evaluation suggests that Rime may be able to signiﬁcantly reduce the implementation complexity of sensor network protocols with only a small increase in resource requirements, hinting that a layered stack may be a suitable communication abstraction even for sensor networks.
John Wiley & Sons © 2003 (410 pages)
Chapter 1 describes networked embedded systems, their design, prototyping, and application support. Chapter 2 introduces smart sensor networks and their applications. Chapter 3 introduces power-aware wireless sensor networks. Routing in wireless sensor networks and the aggregation techniques are discussed in Chapter 4.Distributed sensor networks are presented in Chapter 5, and clustering techniques in wireless sensor networks are introduced in Chapter 6. Chapter 7 presents security protocols in sensor networks. Operating systems for embedded applications are discussed in Chapter 8. Chapter 9 presents network support for embed ded applications. Applications of wireless sensor networks are studied in Chapter 10.
A synchronized network time is essential for energy efficient scheduling, data fusion, localization and many other wireless sensor networks (WSN) applications. This paper studies the special issue of time synchronization in tiny sensor networking devices and presents a Delay Measurement Time Synchronization (DMTS) technique applicable for both single hop and multi-hop wireless sensor networks.
CRC Press © 2007 (538 pages)
The purpose of this book is to initiate the newcomer into the control of computer and wireless communication networks, one of the fastest growing ﬁelds in the engineering world. Technical concepts, which are at the core of the design, implementation, research and invention of computer network and wireless communication network control protocols, are presented in an order that is conducive to understanding general concepts, as well as those speciﬁc to particular wired, cellular, wireless ad hoc, and sensor networks.
Mohamed Hefeeda, Hossein Ahmadi
We propose a new probabilistic coverage protocol (denoted by PCP) that considers probabilistic sensing models. PCP is fairly general and can be used with different sensing models. In particular, PCP requires the computation of a single parameter from the adopted sensing model, while everything else remains the same.
Alec Woo, David E. Culler
We study the problem of media access control in the novel regime of sensor networks, where unique application behavior and tight constraints in computation power, storage, energy resources, and radio technology have shaped this design space to be very diﬀerent from that found in traditional mobile computing regime. Media access control in sensor networks must not only be energy eﬃcient but should also allow fair bandwidth allocation to the infrastructure for all nodes in a multihop network.
Sartaj Sahni, Xiaochun Xu
This paper reviews some of the recent advances in the development of algorithms for wireless sensor networks. We focus on sensor deployment and coverage, routing and sensor fusion.
Tijs van Dam, Koen Langendoen
In this paper we describe T-MAC, a contention-based Medium Access Control protocol for wireless sensor networks. Applications for these networks have some characteristics (low message rate, insensitivity to latency) that can be exploited to reduce energy consumption by introducing an active/sleep duty cycle.
Deva Seetharam, Sokwoo Rhee
In this paper, we describe a simple RNG based on a free-running timer. Although this RNG was speciﬁcally designed for the i-Bean Network, we believe that this generator could be useful in other low-power embedded networks.
Wei Ye, John Heidemann, Deborah Estrin
This paper proposes S-MAC, a medium-access control (MAC) protocol designed for wireless sensor networks. Wireless sensor networks use battery-operated computing and sensing devices. A network of these devices will collaborate for a common application such as environmental monitoring. We expect sensor networks to be deployed in an ad hoc fashion, with individual nodes remaining largely inactive for long periods of time, but then becoming suddenly active when something is detected.
Mohammad Z. Siam, Marwan Krunz
The integration of MIMO technology in WLANs has recently been the focus of extensive research. The main objectives of this technology are to improve channel reuse and/or reduce energy consumption. In this article, we give an overview of MIMO systems and their use in WLANs.
Sokwoo Rhee, Deva Seetharam and other
This paper presents a newly developed short-range, ultra-low power wireless device called the “i-Beans”, an ad hoc, self-organizing network protocol, and their application to low data-rate ubiquitous computing applications.
Sutharshan Rajasegarar and other
Anomaly detection in wireless sensor networks is an important challenge for tasks such as fault diagnosis, intrusion detection, and monitoring applications. The algorithms developed for anomaly detection have to consider the inherent limitations of sensor networks in their design so that the energy consumption in sensor nodes is minimized and the lifetime of the network is maximized.
Venkatesh Rajendran, Katia Obraczka, J.J. Garcia-Luna-Aceves
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, multicast, and broadcast transmissions have no collisions, and by allowing nodes to switch to a low-power, idle state whenever they are not transmitting or receiving.
Roberto Verdone, Chiara Buratti
Protocol design for a Wireless Sensor Network (WSN) must jointly take many aspects into account, owing to the embedded nature of the devices, and the needs for energy efﬁciency, scalability, self-organisation and robustness to heterogeneous and unplanned environments: all these are cross-layer issues.
James Brown, Joe Finney and other
The importance in maintaining energy efficient communications in low power networks such as sensor and actuator networks is well understood. However, in recent years, a growing number of delay sensitive and interactive applications have been discovered for such networks, that are no longer purely limited to the data gathering model of sensor networks. Providing support application requiring low latency interaction in such environments without negatively affecting energy efficiency remains a challenging problem. This paper outlines the importance of this emerging class of application, discusses problems involved in supporting them in energy challenged environments, proposes a combined hardware and software mechanism based on heterogeneous wireless networking which works toward solving this problem, and goes on to evaluate this mechanism through experimental analysis.
Rodrigo Roman, Jianying Zhou, Javier Lopez
Wireless Sensor Networks are extremely vulnerable against any kind of internal or external attacks, due to several factors such as resource-constrained nodes and lack of tamper-resistant packages. As a result, security must be an important factor to have in mind when designing the infrastructure and protocols of sensor networks. In this paper we survey the “state-of-the-art” security issues in sensor networks and highlight the open areas of research.
Eugene Shih, Seong-Hwan Cho and other
We ﬁrst present a hardware model for our wireless sensor node and then introduce the design of physical layer aware protocols, algorithms, and applications that minimize energy consumption of the system. Our approach prescribes methods that can be used at all levels of the hierarchy to take advantage of the underlying hardware. We also show how to reduce energy consumption of non-ideal hardware through physical layer aware algorithms and protocols.
Holger Karl, Andreas Willig
John Wiley & Sons © 2005 (507 pages)
The design and optimization of a wireless sensor network draws on knowledge and understanding of many different areas: properties of the radio front end determine what type of MAC protocols can be used, the type of application limits the options for routing protocols, and battery self-recharge characteristics inﬂuence sleeping patterns of a node. A book, on the other hand, is a linear entity. We are therefore forced to ﬁnd a consecutive form of presenting an inherently nonconsecutive, but densely interwoven, topic.
Chieh-Yih Wan, Andrew T. Campbell, Lakshman Krishnamurthy
We propose PSFQ (Pump Slowly, Fetch Quickly), a reliable transport protocol suitable for a new class of reliable data applications emerging in wireless sensor networks.
Adrian Perrig, John Stankovic, David Wagner
They are susceptible to a variety of attacks, including node capture, physical tampering, and denial of service, while prompting a range of fundamental research challenges.
Sokwoo Rhee, Deva Seetharam, Sheng Liu
We have devised several novel techniques for minimizing power consumption in wireless sensor networks. Based on these techniques, we have developed a highly power-efﬁcient sensor networking platform called the i-Bean Network. In this paper, we describe these techniques in detail and the associated tradeoffs.
Kay Romer, Philipp Blum, Lennart Meier
In this chapter, we review time synchronization and calibration for wireless sensor networks. We will ﬁrst consider time synchronization in Sections 1.1–1.6, before turning to calibration in Section 1.7. We will show that time synchronization can be considered as a calibration problem and many observations about time synchronization can be transferred to calibration.
Shujuan Chen, Adam Dunkels and other
Towards this end, we present a secure time synchronization service, that as our experimental results show does not degrade time synchronization accuracy. Based on the time synchronization service we implement time slotted data collection and present results that show that this way we can provide a predictable data collection service.
Jeremy Elson, Deborah Estrin
We outline the synchronization requirements of future sensor networks and present an implementation of our own low-power synchronization scheme, post-facto synchronization. We also describe an experiment that characterizes its performance for creating short-lived and localized but high-precision synchronization using very little energy.
Saurabh Ganeriwal, Ram Kumar, Mani B. Srivastava
In this paper, we present Timing-sync Protocol for Sensor Networks (TPSN) that aims at providing network-wide time synchronization in a sensor network.
Suyoung Yoon and other
Time synchronization is a fundamental middleware service for any distributed system. Wireless sensor networks make extensive use of synchronized time in many contexts (e.g., data fusion, TDMA schedules, synchronized sleep periods, etc.). We propose a time synchronization method relevant for wireless sensor networks. The solution features minimal complexity in network bandwidth, storage and processing, and can achieve good accuracy.
Joseph Polastre, Jason Hill, David Culler
We propose B-MAC, a carrier sense media access protocol for wireless sensor networks that provides a ﬂexible interface to obtain ultra low power operation, effective collision avoidance, and high channel utilization. To achieve low power operation, B-MAC employs an adaptive preamble sampling scheme to reduce duty cycle and minimize idle listening.
Mark A. Perillo, Wendi B. Heinzelman
To better understand why traditional network protocols are not suitable for these types of sensor network applications, in the remainder of this section we will categorize the unique features of sensor networks and the performance metrics with which protocols for sensor networks should be evaluated.
Springer © 2008 (453 pages)
Wireless sensor networks are being employed in a variety applications ranging from medical to military, and from home to industry. The principle aim of this book is to provide a reference tool for the increasing number of scientists who depend upon sensor networks in some way. The book is organized into several sections, each including chapters exploring a speciﬁc topic.
Springer © 2007 (520 pages)
The main objective of this book is to provide information on concepts, principles, characteristics, applications, latest technological developments, and comparisons with regard to sensor networks and configuration. This book incorporates research, development, tutorials, and case studies.