St Journal of Research -volume 4 -number 1 -wireless Sensor Networks Wireless Sensor Networks Devices: Overview, Issues, State-of-the-art and Promising Technologies

Revolutionary networking concepts and unprecedented mix of technical challenges have made Wireless Sensor Networks (WSN) one of the major research trends of the 21th century. However, only very recently did such systems start to appear as products on the market. In this new context, this paper aims at providing a general status on WSNs, with a special focus on the device aspects, independent of application peculiarities. We first investigate why, despite years of research and development and technical maturity, WSN products and solutions are yet neither fully adopted nor widely deployed. We then review the state-of-theart technologies that build most of today’s available products and finally briefly discuss some advanced techniques for future generations of WSN systems.

[1]  James J. Faran,et al.  CORRELATORS FOR SIGNAL RECEPTION , 1952 .

[2]  J. V. Vleck,et al.  The spectrum of clipped noise , 1966 .

[3]  M. Cheng.  The clipping loss in correlation detectors for arbitrary input signal-to-noise ratios , 1968, IEEE Trans. Inf. Theory.

[4]  K. Thorngren,et al.  Standing balance in hip fracture patients. 20 middle-aged patients compared with 20 healthy subjects. , 1991, Acta orthopaedica Scandinavica.

[5]  H. Hashemi,et al.  The indoor radio propagation channel , 1993, Proc. IEEE.

[6]  B. E. Maki,et al.  Postural control in the older adult. , 1996, Clinics in geriatric medicine.

[7]  Vittorio Degli-Esposti,et al.  A Characterization of Indoor Space and Frequency Diversity by Ray-Tracing Modeling , 1996, IEEE J. Sel. Areas Commun..

[8]  D. Winter,et al.  Unified theory regarding A/P and M/L balance in quiet stance. , 1996, Journal of neurophysiology.

[9]  P H Veltink,et al.  Detection of static and dynamic activities using uniaxial accelerometers. , 1996, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[10]  Neal Lesh,et al.  Indoor navigation using a diverse set of cheap, wearable sensors , 1999, Digest of Papers. Third International Symposium on Wearable Computers.

[11]  Kristofer S. J. Pister,et al.  Acceleration sensing glove (ASG) , 1999, Digest of Papers. Third International Symposium on Wearable Computers.

[12]  川人 祥二.  IEEE ISSCC 報告 , 1999 .

[13]  E. Taub,et al.  Objective measurement of functional upper-extremity movement using accelerometer recordings transformed with a threshold filter. , 2000, Stroke.

[14]  Randy H. Katz,et al.  Emerging challenges: Mobile networking for “Smart Dust” , 2000, Journal of Communications and Networks.

[15]  Luca Benini,et al.  A survey of design techniques for system-level dynamic power management , 2000, IEEE Trans. Very Large Scale Integr. Syst..

[16]  Joseph A. Paradiso.  FootNotes: Personal Reflections on the Development of Instrumented Dance Shoes and their Musical Applications , 2000 .

[17]  Gregory J. Pottie,et al.  Wireless integrated network sensors , 2000, Commun. ACM.

[18]  Kenji Mase,et al.  Recognition of walking behaviors for pedestrian navigation , 2001, Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204).

[19]  Yu Hen Hu,et al.  Detection, classification, and tracking of targets , 2002, IEEE Signal Process. Mag..

[20]  F. Horak,et al.  Effects of deep brain stimulation and levodopa on postural sway in Parkinson's disease , 2002, Journal of neurology, neurosurgery, and psychiatry.

[21]  Mani B. Srivastava,et al.  The bits and flops of the n-hop multilateration primitive for node localization problems , 2002, WSNA '02.

[22]  Mani Srivastava,et al.  Energy-aware wireless microsensor networks , 2002, IEEE Signal Process. Mag..

[23]  Kenji Mase,et al.  Activity and Location Recognition Using Wearable Sensors , 2002, IEEE Pervasive Comput..

[24]  Joseph A. Paradiso,et al.  Shoe-integrated sensor system for wireless gait analysis and real-time feedback , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[25]  Deborah Estrin,et al.  Locating tiny sensors in time and space: a case study , 2002, Proceedings. IEEE International Conference on Computer Design: VLSI in Computers and Processors.

[26]  Koen Langendoen,et al.  An adaptive energy-efficient MAC protocol for wireless sensor networks , 2003, SenSys '03.

[27]  Lui Sha,et al.  Real-time communication and coordination in embedded sensor networks , 2003, Proc. IEEE.

[28]  Koen Langendoen,et al.  Distributed localization in wireless sensor networks: a quantitative compariso , 2003, Comput. Networks.

[29]  Yu Hen Hu,et al.  Energy-Based Collaborative Source Localization Using Acoustic Microsensor Array , 2003, EURASIP J. Adv. Signal Process..

[30]  Paul Lukowicz,et al.  PadNET: wearable physical activity detection network , 2003, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings..

[31]  Albrecht Schmidt,et al.  Multi-sensor Activity Context Detection for Wearable Computing , 2003, EUSAI.

[32]  George Coulouris,et al.  Supporting gestural input for users on the move , 2003 .

[33]  Taketoshi Mori,et al.  Portable orientation estimation device based on accelerometers, magnetometers and gyroscope sensors for sensor network , 2003, Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003..

[34]  Jose A. Gutierrez,et al.  Low-Rate Wireless Personal Area Networks: Enabling Wireless Sensors with IEEE 802.15.4 , 2003 .

[35]  Michael A. Riley,et al.  Dynamic patterns of postural sway in ballet dancers and track athletes , 2005, Experimental Brain Research.

[36]  Amre El-Hoiydi,et al.  WiseMAC: an ultra low power MAC protocol for the downlink of infrastructure wireless sensor networks , 2004, Proceedings. ISCC 2004. Ninth International Symposium on Computers And Communications (IEEE Cat. No.04TH8769).

[37]  Merryn J Mathie,et al.  Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement , 2004, Physiological measurement.

[38]  Yang Chenyang,et al.  A delay diversity system based on IEEE 802.15.4 with RAKE-like receiving , 2004, Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004..

[39]  Ian Oakley,et al.  Tilt and Feel: Scrolling with Vibrotactile Display , 2004 .

[40]  Heikki Ailisto,et al.  Identifying users of portable devices from gait pattern with accelerometers , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[41]  A. Chandrakasan,et al.  A 180-mV subthreshold FFT processor using a minimum energy design methodology , 2005, IEEE Journal of Solid-State Circuits.

[42]  Fredrik Gustafsson,et al.  Mobile Positioning Using Wireless Networks , 2005 .

[43]  Aleksandar Milenkovic,et al.  Journal of Neuroengineering and Rehabilitation Open Access a Wireless Body Area Network of Intelligent Motion Sensors for Computer Assisted Physical Rehabilitation , 2005 .

[44]  Alfred O. Hero,et al.  Locating the Nodes , 2005 .

[45]  Robert W. Brodersen,et al.  An ultra-wideband transceiver architecture for low power, low rate, wireless systems , 2005, IEEE Transactions on Vehicular Technology.

[46]  David L. Churchill,et al.  Power management for energy harvesting wireless sensors , 2005, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[47]  B. Vigna,et al.  More than Moore: micro-machined products enable new applications and open new markets , 2005, IEEE InternationalElectron Devices Meeting, 2005. IEDM Technical Digest..

[48]  Naveen Verma,et al.  Design considerations for ultra-low energy wireless microsensor nodes , 2005, IEEE Transactions on Computers.

[49]  R. E. Hudson,et al.  Distributed Gauss-Newton method for node loclaization in wireless sensor networks , 2005, IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005..

[50]  Ian D O'Donnell,et al.  A Baseband, Impulse Ultra-Wideband Transceiver Front-end for Low Power Applications , 2006 .

[51]  Geert Van der Plas,et al.  A 0.16pJ/Conversion-Step 2.5mW 1.25GS/s 4b ADC in a 90nm Digital CMOS Process , 2006, 2006 IEEE International Solid State Circuits Conference - Digest of Technical Papers.

[52]  A. Wellig,et al.  Trellis-based maximum-likelihood crystal drift estimator for ranging applications in UWB-LDR , 2006, 2006 IEEE International Conference on Ultra-Wideband.

[53]  Arne Martin Holberg.  Innovative Techniques for Extremely Low Power Consumption with 8-bit Microcontrollers , 2006 .

[54]  Luca Necchi,et al.  An ultra-low energy asynchronous processor for wireless sensor networks , 2006, 12th IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC'06).

[55]  Luca Benini,et al.  3dID: a low-power, low-cost hand motion capture device , 2006, Proceedings of the Design Automation & Test in Europe Conference.

[56]  K. Pister,et al.  An Ultra-Low Power 2 . 4 GHz RF Transceiver for Wireless Sensor Networks in 0 . 13 μ m CMOS with 400 mV Supply and an Integrated Passive RX Front-End , 2006 .

[57]  W. Kluge,et al.  A Fully Integrated 2.4GHz IEEE 802.15.4 Compliant Transceiver for ZigBee Applications , 2006, 2006 IEEE International Solid State Circuits Conference - Digest of Technical Papers.

[58]  D.M. Pelissier,et al.  A new pulse detector based on super-regeneration for UWB low power applications , 2006, 2006 IEEE International Conference on Ultra-Wideband.

[59]  Kung Yao,et al.  Special Issue on “Wireless Sensor Networks” , 2009, J. Signal Process. Syst..