Next Article in Journal
Computational Assessment of Facial Expression Production in ASD Children
Next Article in Special Issue
A Distributed Energy-Balanced Topology Control Algorithm Based on a Noncooperative Game for Wireless Sensor Networks
Previous Article in Journal
Influence of Stainless Needle Electrodes and Silver Disk Electrodes over the Interhemispheric Cerebral Coherence Value in Vigil Dogs
Previous Article in Special Issue
Optimized Gateway Placement for Interference Cancellation in Transmit-Only LPWA Networks
Open AccessArticle

M2M Communication Assessment in Energy-Harvesting and Wake-Up Radio Assisted Scenarios Using Practical Components

1
Lab. of Electronics and Communications Engineering, Tampere University of Technology, FI-33720 Tampere, Finland
2
205 Dreese Laboratory, Department of Electrical and Computer Engineering, The Ohio State University, 2015 Neil Avenue, Columbus, OH 43210-1272, USA
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(11), 3992; https://doi.org/10.3390/s18113992
Received: 14 August 2018 / Revised: 2 November 2018 / Accepted: 12 November 2018 / Published: 16 November 2018
Techniques for wireless energy harvesting (WEH) are emerging as a fascinating set of solutions to extend the lifetime of energy-constrained wireless networks, and are commonly regarded as a key functional technique for almost perpetual communications. For example, with WEH technology, wireless devices are able to harvest energy from different light sources or Radio Frequency (RF) signals broadcast by ambient or dedicated wireless transmitters to support their operation and communications capabilities. WEH technology will have increasingly wider range of use in upcoming applications such as wireless sensor networks, Machine-to-Machine (M2M) communications, and the Internet of Things. In this paper, the usability and fundamental limits of joint RF and solar cell or photovoltaic harvesting based M2M communication systems are studied and presented. The derived theoretical bounds are in essence based on the Shannon capacity theorem, combined with selected propagation loss models, assumed additional link nonidealities, diversity processing, as well as the given energy harvesting and storage capabilities. Fundamental performance limits and available capacity of the communicating link are derived and analyzed, together with extensive numerical results evaluated in different practical scenarios, including realistic implementation losses and state-of-the-art printed supercapacitor performance figures with voltage doubler-based voltage regulator. In particular, low power sensor type communication applications using passive and semi-passive wake-up radio (WuR) are addressed in the study. The presented analysis principles and results establish clear feasibility regions and performance bounds for wireless energy harvesting based low rate M2M communications in the future IoT networks. View Full-Text
Keywords: wireless energy harvesting; M2M communications; wake-up radio; Shannon limit; propagation loss; diversity system; supercapacitor; perpetual communications wireless energy harvesting; M2M communications; wake-up radio; Shannon limit; propagation loss; diversity system; supercapacitor; perpetual communications
Show Figures

Figure 1

MDPI and ACS Style

Rinne, J.; Keskinen, J.; Berger, P.R.; Lupo, D.; Valkama, M. M2M Communication Assessment in Energy-Harvesting and Wake-Up Radio Assisted Scenarios Using Practical Components. Sensors 2018, 18, 3992.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop