Minimum cost deployment of wireless sensors with wake-up radios

Wireless sensor networks have found numerous applications in realistic environments. Typically, such networks are desirable to operate in several years without human maintenance. Yet main radio components on the conventional wireless sensors quickly consume most of the limited energy in the sensors, and thus considerably constrain the sensor lifetime. Recently, many low-power wake-up radios are designed and engineered in the industry. They can reduce energy consumption of the wireless sensors. This paper investigates the minimum cost deployment problem for wireless sensors with wake-up radios in practical deployments, where conventional sensors, independent wake-up devices, sensors with conventional and wake-up radios are all taken into account. Our investigation opens a promising way for wireless sensor networks reaching much longer lifetime in the minimum financial cost.

[1]  Thomas Watteyne,et al.  Comparison between Preamble Sampling and Wake-Up Receivers in Wireless Sensor Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[2]  Jan M. Rabaey,et al.  Power-efficient rendez-vous schemes for dense wireless sensor networks , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[3]  Ove Edfors,et al.  DCW-MAC: An Energy Efficient Medium Access Scheme Using Duty-Cycled Low-Power Wake-Up Receivers , 2011, 2011 IEEE Vehicular Technology Conference (VTC Fall).

[4]  Rudy Lauwereins,et al.  Design, Automation, and Test in Europe , 2008 .

[5]  Kin K. Leung,et al.  MAC Essentials for Wireless Sensor Networks , 2010, IEEE Communications Surveys & Tutorials.

[6]  Guido Dolmans,et al.  Analytical Models for the Wake-Up Receiver Power Budget for Wireless Sensor Networks , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[7]  Yan Zhang,et al.  An analytical model for energy efficiency analysis of different wakeup radio schemes , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[8]  Djamel Djenouri,et al.  Survey on Latency Issues of Asynchronous MAC Protocols in Delay-Sensitive Wireless Sensor Networks , 2013, IEEE Communications Surveys & Tutorials.

[9]  Alberto L. Sangiovanni-Vincentelli,et al.  Design methodology for PicoRadio networks , 2001, Proceedings Design, Automation and Test in Europe. Conference and Exhibition 2001.

[10]  Dharma P. Agrawal,et al.  CMAC - A multi-channel energy efficient MAC for wireless sensor networks , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[11]  Ricardo Campanha Carrano,et al.  Survey and Taxonomy of Duty Cycling Mechanisms in Wireless Sensor Networks , 2014, IEEE Communications Surveys & Tutorials.

[12]  Mario Di Francesco,et al.  Energy conservation in wireless sensor networks: A survey , 2009, Ad Hoc Networks.

[13]  Koen Langendoen,et al.  Energy-Efficient Medium Access Control , 2005, Embedded Systems Handbook.