Characteristics of Low-Power Links

This chapter aims at providing a summary of key properties of low-power links. First, it gives an overview of the radio technology most commonly used in low-power wireless networks. Then, it distils from the vast array of empirical studies on low-power links a set of high-level observations, which are classified into spatial and temporal characteristics, link asymmetry, and interference. Such observations are helpful not only to design efficient Link Quality Estimators (LQEs) that take into account the most important aspects affecting link quality, but also to design efficient network protocols that have to handle link unreliability.

[1]  David E. Culler,et al.  Telos: enabling ultra-low power wireless research , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[2]  Ramesh Govindan,et al.  Understanding packet delivery performance in dense wireless sensor networks , 2003, SenSys '03.

[3]  Gang Zhou,et al.  Models and solutions for radio irregularity in wireless sensor networks , 2006, TOSN.

[4]  Deborah Estrin,et al.  SCALE: A tool for Simple Connectivity Assessment in Lossy Environments , 2003 .

[5]  L. Lo Bello,et al.  Cross-channel interference in IEEE 802.15.4 networks , 2008, 2008 IEEE International Workshop on Factory Communication Systems.

[6]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[7]  Ian F. Akyildiz,et al.  Wireless sensor networks , 2007 .

[8]  Philip Levis,et al.  The κ factor: inferring protocol performance using inter-link reception correlation , 2010, MobiCom.

[9]  Matt Welsh,et al.  Fidelity and yield in a volcano monitoring sensor network , 2006, OSDI '06.

[10]  Philip Levis,et al.  An empirical study of low-power wireless , 2010, TOSN.

[11]  Kamin Whitehouse,et al.  Towards Stable Network Performance in Wireless Sensor Networks , 2009, 2009 30th IEEE Real-Time Systems Symposium.

[12]  Kameswari Chebrolu,et al.  Implications of link range and (In)stability on sensor network architecture , 2006, WINTECH.

[13]  Martin Nilsson.  Directional antennas for wireless sensor networks , 2009 .

[14]  Sirajum Munir,et al.  Addressing burstiness for reliable communication and latency bound generation in wireless sensor networks , 2010, IPSN '10.

[15]  Janne Riihijärvi,et al.  Interference Measurements on Performance Degradation between Colocated IEEE 802.11g/n and IEEE 802.15.4 Networks , 2007, Sixth International Conference on Networking (ICN'07).

[16]  Calvin Newport,et al.  The mistaken axioms of wireless-network research , 2003 .

[17]  James Brown,et al.  BurstProbe: Debugging Time-Critical Data Delivery in Wireless Sensor Networks , 2011, EWSN.

[18]  A. Sikora,et al.  Coexistence of IEEE802.15.4 with other Systems in the 2.4 GHz-ISM-Band , 2005, 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings.

[19]  Deborah Estrin,et al.  Complex Behavior at Scale: An Experimental Study of Low-Power Wireless Sensor Networks , 2002 .

[20]  Jingyuan Li,et al.  Automatic and robust breadcrumb system deployment for indoor firefighter applications , 2010, MobiSys '10.

[21]  Guoliang Xing,et al.  Multi-Channel Interference Measurement and Modeling in Low-Power Wireless Networks , 2009, 2009 30th IEEE Real-Time Systems Symposium.

[22]  Özlem Durmaz Incel,et al.  Multi-Channel Interference Measurements for Wireless Sensor Networks , 2006, Proceedings. 2006 31st IEEE Conference on Local Computer Networks.

[23]  G. Giorgetti,et al.  Exploiting Low-Cost Directional Antennas in 2.4 GHz IEEE 802.15.4 Wireless Sensor Networks , 2007, 2007 European Conference on Wireless Technologies.

[24]  Tian He,et al.  Realistic and Efficient Multi-Channel Communications in Wireless Sensor Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[25]  Elif Uysal-Biyikoglu,et al.  Measurement and characterization of link quality metrics in energy constrained wireless sensor networks , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[26]  Marco Zuniga,et al.  Analyzing the transitional region in low power wireless links , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[27]  HyungJune Lee,et al.  Improving Wireless Simulation Through Noise Modeling , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[28]  Thiemo Voigt,et al.  Evaluation of an Electronically Switched Directional Antenna for Real-World Low-Power Wireless Networks , 2010, REALWSN.

[29]  Gang Zhou,et al.  Impact of radio irregularity on wireless sensor networks , 2004, MobiSys '04.

[30]  Dong Yang,et al.  Coexistence of IEEE802.15.4 based networks: A survey , 2010, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.

[31]  Pedro José Marrón,et al.  MoteFinder: a deployment tool for sensor networks , 2008, REALWSN '08.

[32]  Deborah Estrin,et al.  Temporal Properties of Low Power Wireless Links: Modeling and Implications on Multi-Hop Routing , 2005 .

[33]  Kameswari Chebrolu,et al.  Censor networks: a critique of "sensor networks" from a systems perspective , 2008, CCRV.

[34]  Lothar Thiele,et al.  Deployment support network a toolkit for the development of WSNs , 2007 .

[35]  Andreas Savvides,et al.  An Empirical Characterization of Radio Signal Strength Variability in 3-D IEEE 802.15.4 Networks Using Monopole Antennas , 2006, EWSN.

[36]  Koen Langendoen,et al.  Link layer measurements in sensor networks , 2004, 2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE Cat. No.04EX975).

[37]  Marco Zuniga,et al.  JamLab: Augmenting sensornet testbeds with realistic and controlled interference generation , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

[38]  Marco Zuniga,et al.  An analysis of unreliability and asymmetry in low-power wireless links , 2007, TOSN.

[39]  Gang Zhou,et al.  RID: radio interference detection in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[40]  Bhaskar Krishnamachari,et al.  Experimental study of concurrent transmission in wireless sensor networks , 2006, SenSys '06.

[41]  Andrea Goldsmith,et al.  Wireless Communications , 2005, 2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS).

[42]  Andreas Terzis,et al.  Surviving wi-fi interference in low power ZigBee networks , 2010, SenSys '10.

[43]  Anis Koubaa,et al.  RadiaLE: A framework for designing and assessing link quality estimators in wireless sensor networks , 2011, Ad Hoc Networks.

[44]  Philip Levis,et al.  The β-factor: measuring wireless link burstiness , 2008, SenSys '08.

[45]  Ivan Stojmenovic,et al.  Sensor Networks , 2005 .

[46]  Kuang-Ching Wang,et al.  Channel Characterization and Link Quality Assessment of IEEE 802.15.4-Compliant Radio for Factory Environments , 2007, IEEE Transactions on Industrial Informatics.

[47]  Deborah Estrin,et al.  Statistical model of lossy links in wireless sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[48]  Amy L. Murphy,et al.  Not all wireless sensor networks are created equal: A comparative study on tunnels , 2010, TOSN.