https://www.science.smith.edu/~jcardell/Courses/EGR328/Readings/WSNSurvey2.pdf

Wireless sensor network survey

In the last years, wireless sensor networks (WSNs) have gained increasing attention from both the research community and actual users. As sensor nodes are generally battery-powered devices, the critical aspects to face concern how to reduce the energy consumption of nodes, so that the network lifetime can be extended to reasonable times. In this paper we first break down the energy consumption for the components of a typical sensor node, and discuss the main directions to energy conservation in WSNs. Then, we present a systematic and comprehensive taxonomy of the energy conservation schemes, which are subsequently discussed in depth. Special attention has been devoted to promising solutions which have not yet obtained a wide attention in the literature, such as techniques for energy efficient data acquisition. Finally we conclude the paper with insights for research directions about energy conservation in WSNs.

/pdf/energy-conservation-in-wireless-sensor-networks-a-survey-1bl7d2obnm.pdf

Energy conservation in wireless sensor networks: A survey

Wireless sensor network applications, similarly to other distributed systems, often require a scalable time synchronization service enabling data consistency and coordination. This paper describes the Flooding Time Synchronization Protocol (FTSP), especially tailored for applications requiring stringent precision on resource limited wireless platforms. The proposed time synchronization protocol uses low communication bandwidth and it is robust against node and link failures. The FTSP achieves its robustness by utilizing periodic flooding of synchronization messages, and implicit dynamic topology update. The unique high precision performance is reached by utilizing MAC-layer time-stamping and comprehensive error compensation including clock skew estimation. The sources of delays and uncertainties in message transmission are analyzed in detail and techniques are presented to mitigate their effects. The FTSP was implemented on the Berkeley Mica2 platform and evaluated in a 60-node, multi-hop setup. The average per-hop synchronization error was in the one microsecond range, which is markedly better than that of the existing RBS and TPSN algorithms.

/pdf/the-flooding-time-synchronization-protocol-2j5x8h86k4.pdf

The flooding time synchronization protocol

Early goal-directed therapy in the treatment of severe sepsis and septic shock

In the recent past, wireless sensor networks have found their way into a wide variety of applications and systems with vastly varying requirements and characteristics. As a consequence, it is becoming increasingly difficult to discuss typical requirements regarding hardware issues and software support. This is particularly problematic in a multidisciplinary research area such as wireless sensor networks, where close collaboration between users, application domain experts, hardware designers, and software developers is needed to implement efficient systems. In this article we discuss the consequences of this fact with regard to the design space of wireless sensor networks by considering its various dimensions. We justify our view by demonstrating that specific existing applications occupy different points in the design space.

/pdf/the-design-space-of-wireless-sensor-networks-2lr8ozcx58.pdf

The design space of wireless sensor networks

Weapon classification and shooter localization using distributed multichannel acoustic sensors

A method for radio interference based sensor localization. In one embodiment, the method has the steps of creating an interference signal from a first transmitter and a second transmitter, measuring phase offsets of the interference signal received by a first receiver and a second receiver, respectively, and determining the locations of the first and second transmitters and the first and second receivers from the measured phase offsets.

System and methods of radio interference based localization in sensor networks

Multihop message routing is a well studied and widely documented area of research in wireless sensor networks (WSN), where the dynamic and lossy nature of the wireless medium and severe resource constraints pose major challenges. The vast majority of related research focuses on reliable and power-efficient transfer of small amounts of data, such as low frequency sensor readings or event detections. However, in a few but notable WSN applications, reliable transfer of mass data is essential. The paper describes an efficient multihop bulk transfer service along with a complete sensor network application utilizing it for on-demand image transfers. The paper focuses on the unique problems of the service, such as resource allocation, flow control and mobility throughout the modeling, simulation and implementation phases. Models of the protocol have been built and simulated in a probabilistic wireless network simulator. The prototype implementation targets TinyOS, a well-known WSN operating system.

/pdf/reliable-multihop-bulk-transfer-service-for-wireless-sensor-3txql3y1ay.pdf

Reliable multihop bulk transfer service for wireless sensor networks

A novel approach to structural monitoring of bridges is presented. Acoustic emission sensing has been constrained to hardwired systems up till now because the processing of high bandwidth sensor data on multiple channels requires a lot of energy. The presented prototype wireless system for the real-time detection of active fatigue cracks in bridges overcomes this problem by utilizing a low-power Flash FPGA for signal processing, a novel vibration energy harvester and a sophisticated sleep scheduler.

Self-sustaining Wireless Acoustic Emission Sensor System for Bridge Monitoring

http://sharps.org/wp-content/uploads/NADAS-SCP.pdf

Andras Nadas

Papers

Weapon classification and shooter localization using distributed multichannel acoustic sensors

System and methods of radio interference based localization in sensor networks

Reliable multihop bulk transfer service for wireless sensor networks

Self-sustaining Wireless Acoustic Emission Sensor System for Bridge Monitoring

A model-integrated authoring environment for privacy policies