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View all- Prauzek MKrömer PRodway JMusilek P(2016)Differential evolution of fuzzy controller for environmentally-powered wireless sensorsApplied Soft Computing10.1016/j.asoc.2016.06.04048:C(193-206)Online publication date: 1-Nov-2016
Modeling and implementation of energy neutral sensing systems
Article No.: 9, Pages 1 - 6
Abstract
We present the modeling, implementation, and evaluation of a single wireless sensor network that executes energy-harvesting algorithms and sensing applications. The network energy-management is modeled as a feedback control system. An asynchronous execution of the energy-management and the application processes is modeled as a finite state machine. To evaluate our approach, we designed energy neutral sensing systems for two applications and implemented them with Fennec Fox.
References
[1]
Y. Afsar et al. Evaluating photovoltaic performance indoors. In Proc. of the Photovoltaic Specialists Conf., pages 1948--1951, June 2012.
[2]
D. Culler, D. Estrin, and M. Srivastava. Guest editors' introduction: Overview of sensor networks. Computer, 37: 41--49, Aug. 2004.
[3]
P. Dutta et al. Trio: enabling sustainable and scalable outdoor wireless sensor network deployments. In Proc. of the IPSN Conf., pages 407--415, Apr. 2006.
[4]
P. Dutta et al. A building block approach to sensornet systems. In Proc. of the ACM SenSys Conf., pages 267--280, Nov. 2008.
[5]
P. Dutta et al. Wireless ACK collisions not considered harmful. In ACM HotNets Work., Oct. 2008.
[6]
O. Gnawali et al. Collection tree protocol. In Proc. of the ACM SenSys Conf., pages 1--14, Nov. 2009.
[7]
M. Gorlatova et al. Movers and shakers: Kinetic energy harvesting for the internet of things. CoRR, abs/1307.0044, 2013.
[8]
M. Gorlatova et al. Prototyping energy harvesting active networked tags (EnHANTs). In Proc. IEEE INFOCOM'13 mini-conference, pages 585--589, Apr. 2013.
[9]
M. Gorlatova, A. Wallwater, and G. Zussman. Networking low-power energy harvesting devices: Measurements and algorithms. In Proc. IEEE INFOCOM'11, pages 1602--1610, Apr. 2011.
[10]
A. Hande, T. Polk, W. Walker, and D. Bhatia. Indoor solar energy harvesting for sensor network router nodes. Microprocessors and Microsystems, 31(6): 420--432, 2007.
[11]
V. Jelicic et al. Context-adaptive multimodal wireless sensor network for energy-efficient gas monitoring. Sensors Journal, IEEE, 13(1): 328--338, Jan. 2013.
[12]
N. R. E. Laboratory. Measurement and instrumentation data center. {Online} http://www.nrel.gov/midc/hsu/.
[13]
S. P. Lau, G. Merrett, and N. White. Energy-efficient street lighting through embedded adaptive intelligence. In Proc. of ICALT Conf., pages 53--58, May 2013.
[14]
P. Levis et al. TOSSIM: accurate and scalable simulation of entire TinyOS applications. In Proc. of the ACM SenSys Conf., pages 126--137, Nov. 2003.
[15]
P. Levis et al. Trickle: A self-regulating algorithm for code propagation and maintenance in wireless sensor networks. In Proc. of the NSDI Symp., pages 15--28, Mar. 2004.
[16]
V. Liu et al. Ambient backscatter: wireless communication out of thin air. In Proc. of the ACM SIGCOMM, pages 39--50, Aug. 2013.
[17]
A. Seyedi and B. Sikdar. Modeling and analysis of energy harvesting nodes in wireless sensor networks. In Proc. of Communication, Control, and Computing Conf., pages 67--71, Sept. 2008.
[18]
V. Shnayder et al. Simulating the power consumption of large-scale sensor network applications. In Proc. of the ACM SenSys Conf., pages 188--200, Apr. 2004.
[19]
M. Szczodrak, O. Gnawali, and L. P. Carloni. Dynamic reconfiguration of wireless sensor networks to support heterogeneous applications. In Proc. of IEEE DCOSS Conf., pages 52--61, May 2013.
[20]
M. Szczodrak, Y. Yang, D. Cavalcanti, and L. P. Carloni. An open framework to deploy heterogeneous wireless testbed for cyber-physical systems. In Proc. of the IEEE SIES Symp., pages 215--224, 2013.
[21]
R. Szewczyk et al. Habitat monitoring with sensor networks. Commun. ACM, 47(6): 34--40, June 2004.
[22]
S. Tin and A. Lal. Saw-based radioisotope-powered wireless rfid/rf transponder. In Ultrasonics Symposium, pages 1498--1501, Oct. 2010.
[23]
A. S. Weddell et al. A survey of multi-source energy harvesting systems. In Proc. of the DATE Conf., pages 905--908, Mar. 2013.
[24]
Y. Wu and W. Liu. Routing protocol based on genetic algorithm for energy harvesting-wireless sensor networks. Wireless Sensor Systems, IET, 3(2): 112--118, July 2013.
[25]
L. Yerva et al. Grafting energy-harvesting leaves onto the sensornet tree. In Proc. of the IPSN Conf., pages 197--208, Apr. 2012.
Index Terms
- Modeling and implementation of energy neutral sensing systems
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Published: 13 November 2013
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ENSSys '13 Paper Acceptance Rate 12 of 20 submissions, 60%;
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View all- Prauzek MKrömer PRodway JMusilek P(2016)Differential evolution of fuzzy controller for environmentally-powered wireless sensorsApplied Soft Computing10.1016/j.asoc.2016.06.04048:C(193-206)Online publication date: 1-Nov-2016
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