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IOT Power Management For Reducing The Dependency On Batteries
Ahmed Abdulmanea, Lutfi Khanbari
Pages - 221 - 230     |    Revised - 30-11-2019     |    Published - 31-12-2019
Volume - 13   Issue - 6    |    Publication Date - December 2019  Table of Contents
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KEYWORDS
Internet of Things, Wireless Power Management, Energy Harvesting, Low Power, Solar Energy.
ABSTRACT
Various reports and studies projects that, by 2020, about to 50 billion devices will be connect to internet of things and the global market value will reach $7.1 trillion, which will give the engineers the opportunity to design solutions to several problems such as healthcare, industry, transportation, agriculture, smart homes, etc.

The Internet of Things (IoT) is the network of physical devices, vehicles, home appliances and other items embedded with electronics, software, sensors, actuators, and connectivity which enables these objects to connect and exchange data. Each thing is uniquely identifiable through its embedded computing system but is able to interoperate within the existing Internet infrastructure.

Sensors are the core of the IoT as its collect the data from the environment and then exchange it with a web cloud server through the network (internet) and then send a response to the things (devices) to take actions.

Most of the devices will be connect wirelessly due to the inconvenience, expense or infeasibility of wiring it, and many of them have size constrains with limited battery space and no power cord, so powering these devices (to achieve several months of functioning) become serious challenge. This paper highlights focusing in this challenge and addressing some solutions by using environmental energy to make IoT self-powered such as solar energy, these will decrease and, in some cases, eliminating their dependence on batteries.
1 Google Scholar 
2 refSeek 
3 Doc Player 
4 Scribd 
1 Belkin Wemo. http://www.belkin.com/us/Products/homeautomation/c/wemohome automation/.
2 CubeSensors. https://cubesensors.com/.
3 Driblet. http://driblet.co/.
4 Fitbit. http://www.fitbit.com/.
5 Flood Beacon. http://floodbeacon.com.
6 Pavegen. http://www.pavegen.com/.
7 Pebble. https://getpebble.com/.
8 Quirky Wink. https://www.quirky.com/ge.
9 Revolv Home Automation hub. http://revolv.com/.
10 Self-Powered Ad-Hoc Network. http://www.lockheedmartin.com/us/products/span.html.
11 Spheramid Gateway for Ninjasphere. http://ninjablocks.com/.
12 Wally. https://www.wallyhome.com/.
13 Wireless Sensor Tags. https://www.mytaglist.com/.
14 B. Allen et al. Harvesting energy from ambient radio signals: A load of hot air? In LAPC, pages 1-4, 2012.
15 Ambiq Micro. AM08X5 real-time clock family. http://ambiqmicro. com/sites/default/files/AM08X5 Data Sheet DS0002V1p1.pdf .
16 Bluetooth Special Interest Group. https://www.bluetooth.org/.
17 D. Bol et al. SleepWalker: A 25-MHz 0.4-V sub- mm2 7 - �W/MHz microcontroller in 65-nm LP/GP PCMOS for low-carbon wireless sensor nodes. IEEE J SOLID-ST CIRC, pages 20- 32, 2013.
18 C. Brown. Low-power sampling techniques using kinetis l, 2013.
19 E. Carlson et al. A 20 mv input boost converter with efficient digital control for thermoelectric energy harvesting. IEEE J SOLID-ST CIRC, pages 741-750, 2010.
20 C.-Y. Chen and P. H. Chou. Duracap: A super capacitor-based, power-bootstrapping, maximum power point tracking energy-harvesting system. In ISLPED, pages 313-318, 2010.
21 G. Chen et al. Circuit design advances for wireless sensing applications. Proc. IEEE, pages 1808-1827, 2010.
22 Cymbet. EnerChip. http://www.cymbet.com/.
23 Estimote. Estimote beacons. http://estimote.com/.
24 D. Evans. The internet of things: How the next evolution of the internet is changing everything. http://www.cisco.com/web/about/ ac79/docs/innov/IoT IBSG 0411FINAL.pdf , 2011.
25 M. Fo jtik et al. A millimeter-scale energy-autonomous sensor system with stacked battery and solar cells. IEEE J SOLID-ST CIRC, pages 801-813, 2013.
26 G. R. Fox et al. Current and future ferroelectric nonvolatile memory technology. J VAC SCI TECHNOL B, pages 1967-1971, 2001.
27 M. Gorlatova et al. Energy harvesting active networked tags (EnHANTs) for ubiquitous ob ject networking. IEEE WC, pages 18-25, 2010.
28 M. Gorlatova et al. Movers and shakers: Kinetic energy harvesting for the internet of things. In (to appear in) ACM SIGMETRICS, 2014.
29 S. Hanson et al. A low-voltage processor for sensing applications with picowatt standby mode. IEEE J SOLID-ST CIRC, pages 1145-1155,2009.
30 A. M. Hawkes et al. A microwave metamaterial with integrated power harvesting functionality. Applied Physics Letters, 103(16), 2013.
31 H. Jabbar et al. RF energy harvesting system and circuits for charging of mobile devices. IEEE T CONSUM ELECTR, pages 247-253, 2010.
32 H. Jayakumar et al. QUICKRECALL: A low overhead HW/SW approach for enabling computations across power cycles in transiently powered computers. In VLSID, pages 330- 335, 2014.
33 H. Jayakumar et al. HYPNOS: An Ultra-Low Power Sleep Mode with SRAM Data Retention for Embedded Microcontrollers. CODES+ISSS '14, 2014 (to appear).
34 C. Y. Jiang et al. High-bendability flexible dye-sensitized solar cell with a nanoparticle- modified ZnO-nanowire electrode. APPL PHYS LETT, 2008.
35 S. Khanna et al. An FRAM-based nonvolatile logic MCU SoC exhibiting 100% digital state retention at vdd= 0 V achieving zero leakage with < 400-ns wakeup time for ulp applications. IEEE J SOLID-ST CIRC, pages 95-106, 2014.
36 Y. Kim et al. Maximum power transfer tracking for a photovoltaic-supercapacitor energy system. In ISLPED, pages 307-312, 2010.
37 H. Li and Y. Chen. Nonvolatile Memory Design: Magnetic, Resistive, and Phase Change. 2011.
38 Linear Technology. LT8490-high V, high I, buck-boost battery charge controller with MPPT.
39 J.-Q. Liu et al. A MEMS-based piezoelectric power generator array for vibration energy harvesting. MICROELECTR J, pages 802-806,2008.
40 V. Liu et al. Ambient backscatter: Wireless communication out of thin air. COMPUT COMMUN REV, pages 39-50, 2013.
41 Lively. Lively. http://mylively.com/.
42 C. Lu et al. Maximum power point considerations in micro-scale solar energy harvesting systems. In ISCAS, pages 273-276, 2010.
43 S. J. A. Ma jerus et al. Wireless, ultra-low-power implantable sensor for chronic bladder pressure monitoring. JETC, pages 11:1-11:13,2012.
44 C. Meng et al. Ultrasmall integrated 3D micro-supercapacitors solve energy storage for miniature devices. Advanced Energy Materials,2014.
45 P. P. Mercier et al. Energy extraction from the biologic battery in the inner ear. NAT BIOTECHNOL, pages 1240-1243, 2012.
46 J. Nickels et al. Find my stuff: Supporting physical ob jects search with relative positioning. In UbiComp, pages 325-334, 2013.
47 P. H. L. Notten et al. 3-D integrated all-solid-state rechargeable batteries. ADV MATER, pages 4564-4567, 2007.
48 Panasonic. MN101LR05D/04D/03D/02D datasheet. http://www.semicon.panasonic.co.jp/ds4/MN101L05 E.pdf .
49 V. Raghunathan and P. Chou. Design and power management of energy harvesting embedded systems. In ISLPED, pages 369-374,2006.
50 V. Raghunathan et al. Emerging techniques for long lived wireless sensor networks. IEEE COMMUN MAG, pages 108-114, 2006.
51 Y. Ramadass and A. Chandrakasan. A battery-less thermoelectric energy harvesting interface circuit with 35 mV startup voltage. IEEE J SOLID-ST CIRC, pages 333-341, 2011.
52 B. Ransford. Transiently Powered Computers. PhD thesis, University of Massachusetts Amherst, Jan. 2013.
53 N. Sakimura et al. A 90 nm 20 MHz fully nonvolatile microcontroller for standby-power- critical applications. In ISSCC, pages 184-185,2014.
54 A. Sinha and A. Chandrakasan. Dynamic power management in wireless sensor networks. IEEE DES TEST COMPUT, pages 62-74,2001.
55 STMicroelectronics. SPV1050-ULP energy harvester and battery charger with embedded MPPT and LDOs.
56 tado. tado cooling. http://www.tado.com/.
57 C. Wang et al. Storage-less and converter-less maximum power point tracking of photovoltaic cells for a nonvolatile microprocessor. In ASP-DAC, pages 379-384, 2014.
58 B. Zhai et al. A 2.60pJ/Inst subthreshold sensor processor for optimal energy efficiency. In Symposium on VLSI Circuits, pages 154-155, 2006.
59 P. Zhang et al. QuarkOs: Pushing the operating limits of micro-powered sensors. In HotOS, 2013.
60 P. Zhang and D. Ganesan. Enabling bit-by-bit backscatter communication in severe energy harvesting environments. In NSDI, pages 345-357, 2014.
61 M. Zwerg et al. An 82 �A/MHz microcontroller with embedded FeRAM for energy-harvesting applications. In ISSCC, pages 334-336,2011.
Mr. Ahmed Abdulmanea
Faculty of Engineering, University of Aden, Information Technology, Aden, Yemen - Yemen
ahmed_abdulmanea@adeneng-faculty.edu.ye
Dr. Lutfi Khanbari
Faculty of Engineering, University of Aden, Computer science and Engineering, Aden, Yemen - Yemen