Details

Title

Survey of Energy Harvesting Systems for Wireless Sensor Networks in Environmental Monitoring

Journal title

Metrology and Measurement Systems

Yearbook

2016

Numer

No 4

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation

Date

2016

Identifier

ISSN 0860-8229

References

Mitcheson (2008), Energy harvesting from human and machine motion for wireless electronic devices Proc of the, IEEE, 96, 1457, doi.org/10.1109/JPROC.2008.927494 ; Pallikonda Rajasekaran (2010), Sensor grid applications in patient monitoring Future Generation Computer, Systems, 1, 569. ; Stefanelli (2014), Rodriguez de la Concepcion A wireless sensor network platform optimized for assisted sustainable agriculture Global Humanitarian Technology Conference, IEEE, 57, 159. ; Dziadak (2011), Embedding wireless water monitoring system in Internet, Przeglad Elektrotechniczny, 87, 246. ; Adamkiewicz (2015), Disability - adjusted life years in the assessment of health effects of traffic - related air pollution Advances in Experimental Medicine and, Biology, 834. ; Konstantopoulos (2016), Converting a Plant to a Battery and Wireless Sensor with Scatter Radio and Ultra - Low Cost Transactions on Instrumentation and, IEEE Measurement, 65, 388, doi.org/10.1109/TIM.2015.2495718 ; Capella (2013), In line river monitoring of nitrate concentration by means of a Wireless Sensor Network with energy harvesting Sensors and Actuators B :, Chemical, 177. ; Tuna (2016), Ch Energy harvesting and battery technologies for powering wireless sensor networks Industrial Wireless Sensor, Networks, 25. ; Chong (2003), Sensor networks : evolution opportunities and challenges Proc of the, IEEE, 91, 1247, doi.org/10.1109/JPROC.2003.814918 ; Dziadak (2011), Evaluation of the Hardware for a Mobile Measurement Station Transactions on Industrial, IEEE Electronics, 65, 2627, doi.org/10.1109/TIE.2010.2093478 ; Tan (2011), Self - autonomous wireless sensor nodes with wind energy harvesting for remote sensing of wind - driven wildfire spread Transactions on Instrumentation and, IEEE Measurement, 60, 1367, doi.org/10.1109/TIM.2010.2101311 ; Akyildiz (2020), A survey on sensor networks Communications, IEEE Magazine, 40, 102, doi.org/10.1109/MCOM.2002.1024422 ; Wu (2014), An electromagnetic energy harvesting device based on high efficiency windmill structure for wireless forest fire monitoring application Sensors and Actuators A :, Physical, 62, 219. ; Sung (2014), Health parameter monitoring via a novel wireless system Applied Soft, Computin, 22, 667. ; Burgess (2010), Harnessing wireless sensor technologies to advance forest ecology and agricultural research and Forest, Agricultural Meteorology, 61, 150. ; Michalski (2008), Mobile - Observation - Point - Selected Aspects in Design and Signal Transmission Transactions on Instrumentation and, IEEE Measurement, 55, 1695, doi.org/10.1109/TIM.2008.923779 ; Markevicius (2016), Dynamic Vehicle Detection via the Use of Magnetic Field Sensors, Sensors, 16, 78, doi.org/10.3390/s16010078 ; Carvalho (2009), City - wide mobile air quality measurement system, IEEE Sensors, 44, 546. ; Jelicic (2013), Context - Adaptive Multimodal Wireless Sensor Network for Energy - Efficient Gas Monitoring Sensors, IEEE Journal, 42, 328. ; Sheu (2011), Development of a low frequency electrostatic comb - drive energy harvester compatiblie to SoC design by CMOS process Sensors and Actuators A, Physical, 11, 1667. ; Vullers (2009), Micropawer energy harvesting Solid - State, Electronics, 53, 684. ; Touati (null), Environmentally Powered Multiparametric Wireless Sensor Node for Air Quality Diagnostic Sensors and, Materials, 46, 177. ; Ren (2000), Recent advances in direct methanol fuel cells at Los Alamos National Laboratory of Power, Journal Sources, 86, 111, doi.org/10.1016/S0378-7753(99)00407-3 ; Morais (2008), A ZigBee multi - powered wireless acquisition device for remote sensing applications in precision viticulture and Electronics in, Computers Agriculture, 64, 94, doi.org/10.1016/j.compag.2007.12.004 ; Munoz (2013), Design and implementation of a communication infrastructure for WSN - based vehicular traffic control applications of Systems Part, Journal Architecture, 59, 923, doi.org/10.1016/j.sysarc.2013.08.002 ; Calio (2014), Piezoelectric Energy harvesting Solutions, Sensors, 14, 4755, doi.org/10.3390/s140304755 ; Gurau (2002), Methanol crossover in direct methanol fuel cells : a link between power and energy density of Power, Journal Sources, 112, 339, doi.org/10.1016/S0378-7753(02)00445-7 ; Alippi (2011), A Robust Adaptive Solar - Powered WSN Framework for Aquatic Environmental Monitoring Sensors, IEEE Journal, 53, 45. ; Pham (2014), Communication performances of IEEE wireless sensor motes for data - intensive applications : A comparison of WaspMote , Arduino MEGA MicaZ and iMote for image surveillance of Network and Computer, Journal Applications, 15, 802. ; Touati (2015), Feasibility of air quality monitoring systems based on environmental energy harvesting International Instrumentation and Measurement Technology Conference, IEEE, 45, 266. ; Michalski (2009), Selected aspects of wireless sensor network for petroleum derivative monitoring system, Przeglad Elektrotechniczny, 85, 1. ; Wan (2011), Review on energy harvesting and energy management for sustainable wireless sensor networks Proc of the IEEE International Conference on Communication Technology, ICCT, 11, 317. ; Bhuiyan (2015), Deploying Wireless Sensor Networks with Fault - Tolerance for Structural Health Monitoring Transactions on, IEEE Computers, 64, 382, doi.org/10.1109/TC.2013.195 ; Philipp (2012), Adaptive wireless sensor networks powered by hybrid energy harvesting for environmental monitoring th International Conference on Information and Automation for Sustainability, IEEE, 63, 285. ; Yick (2008), Wireless sensor network survey, Computer Networks, 52, 2292, doi.org/10.1016/j.comnet.2008.04.002 ; Calhoun (2005), Design considerations for ultra - low energy wireless microsensor nodes Transactions on, IEEE Computers, 31, 727, doi.org/10.1109/TC.2005.98 ; Lee (2009), at el Theoretical comparison of the energy harvesting capability among various electrostatic mechanisms from structure aspect Sensors and Actuators A, Physical, 156, 208. ; Winkler (2008), Theoretical and practical aspects of military wireless sensor networks of Telecommunications and Information Technology, Journal, 2, 37. ; Soo Kim (2011), A review of Pizoelectric Energy Harvesting based on Vibration of Precision Engineering and, International Journal Manufacturing, 12, 1129. ; Dziadak (2013), Some Practical Problems of Communications Reliability in Enviromental Monitoring Systems Metrol Meas, Syst, 51, 337. ; Bhatnagar (2015), Energy Harvesting for assistive and mobile applications &, Energy Science Engineering, 3, 153, doi.org/10.1002/ese3.63 ; Barac (2014), Scrutinizing Bit - and Symbol - Errors of IEEE Communication in Industrial Environments Transactions on Instrumentation and, IEEE Measurement, 15, 802. ; Matese (2009), A wireless sensor network for precision viticulture : The NAV system and Electronics in, Computers Agriculture, 58, 51, doi.org/10.1016/j.compag.2009.06.016 ; Hill (2002), Mica : a wireless platform for deeply embedded networks, IEEE Micro, 32, 12, doi.org/10.1109/MM.2002.1134340 ; Buevich (2013), Hardware Assisted Clock Synchronization for Real - Time Sensor Networks Real - Time Systems Symposium th, IEEE, 34, 268.

DOI

10.1515/mms-2016-0053

×