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Journal articles on the topic 'Low Power Wireless Communication'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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1

Abdelatty, Omar, Xing Chen, Abdullah Alghaihab, and David Wentzloff. "Bluetooth Communication Leveraging Ultra-Low Power Radio Design." Journal of Sensor and Actuator Networks 10, no. 2 (2021): 31. http://dx.doi.org/10.3390/jsan10020031.

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Energy-efficient wireless connectivity plays an important role in scaling both battery-less and battery-powered Internet-of-Things (IoT) devices. The power consumption in these devices is dominated by the wireless transceivers which limit the battery’s lifetime. Different strategies have been proposed to tackle these issues both in physical and network layers. The ultimate goal is to lower the power consumption without sacrificing other important metrics like latency, transmission range and robust operation under the presence of interference. Joint efforts in designing energy-efficient wireles

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2

Lundén, Marcus, and Adam Dunkels. "The politecast communication primitive for low-power wireless." ACM SIGCOMM Computer Communication Review 41, no. 2 (2011): 31–37. http://dx.doi.org/10.1145/1971162.1971167.

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3

Fu, Yong, Qiang Guo, and Changying Chen. "A-LNT: A Wireless Sensor Network Platform for Low-Power Real-Time Voice Communications." Journal of Electrical and Computer Engineering 2014 (2014): 1–19. http://dx.doi.org/10.1155/2014/394376.

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Combining wireless sensor networks and voice communication for multidata hybrid wireless network suggests possible applications in numerous fields. However, voice communication and sensor data transmissions have significant differences, Meanwhile, high-speed massive real-time voice data processing poses challenges for hardware design, protocol design, and especially power management. In this paper, we present a wireless audio sensor network platform A-LNT and study and discuss key elements for systematic design and implementation: node hardware design, low-power voice codec and processing, wir

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4

Dezfouli, Behnam, Marjan Radi, Shukor Abd Razak, Tan Hwee-Pink, and Kamalrulnizam Abu Bakar. "Modeling low-power wireless communications." Journal of Network and Computer Applications 51 (May 2015): 102–26. http://dx.doi.org/10.1016/j.jnca.2014.02.009.

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5

Mo, Xiao Ling, and Mei Xiang Peng. "The Study on Power Consumption Models for Low-Power Wireless Communications." Advanced Materials Research 268-270 (July 2011): 1691–96. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1691.

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Power consumption models for low-power wireless communications, where transmitter and receiver electronics power consumption is comparable to PA power consumption, are based on channel path loss, depending on distance between transmitter and receiver, making them suitable for energy-efficiency consideration of multi-hop vs. single-hop communication. We propose L – model, based on total channel-loss, that is more suitable for transmission energy consumption optimization in the sense of different modulation and coding techniques than d – models. Since total channel loss information is available

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6

Chen, De Hai, and Wei Feng Chao. "Low-Power WSN Measurement Node for Greenhouse." Applied Mechanics and Materials 391 (September 2013): 501–4. http://dx.doi.org/10.4028/www.scientific.net/amm.391.501.

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The component of the greenhouse wireless sensor network was introduced, as the same time, its working process was presented. The wireless measurement nodes were designed based on nRF9E5. The hardware and software of the actuator nodes were studied, and according to the wireless communication system characteristic designing the system of hardware and software. The system was also debugged and test run. To reduce energy consumption, low-power components and low-power wireless transmission model were utilized, and the node had two operating model: active model and standby model. The wireless meas

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7

Wang, Hong Fen. "Environmental Monitoring System Based on ZigBee Wireless Sensor and Low-Power Technology." Advanced Materials Research 662 (February 2013): 701–4. http://dx.doi.org/10.4028/www.scientific.net/amr.662.701.

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Environment monitoring system is an application service system for the management of industry and agriculture and the construction and operation of the national economy, which is conducive to the protection of the environment and ecology, can effectively avoid major environmental pollution incidents to threaten people's lives and property safety, and provide information support to safe energy system and to more efficient cooperative-work. The wireless sensor network is the product of the combination of sensor technology, communication technology and computer network technology. The wireless co

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8

MAEKI, A., M. MIYAZAKI, M. OHGUSHI, M. KOKUBO, and K. SUZUKI. "Intermittent Wireless Communication System for Low-Power Sensor Networks." IEICE Transactions on Communications E89-B, no. 12 (2006): 3438–41. http://dx.doi.org/10.1093/ietcom/e89-b.12.3438.

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9

Bang, S. H., Joongho Choi, B. J. Sheu, and R. C. Chang. "A compact low-power VLSI transceiver for wireless communication." IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 42, no. 11 (1995): 933–45. http://dx.doi.org/10.1109/81.477204.

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10

Sarrigeorgidis, Konstantinos, and Jan Rabaey. "Ultra Low Power CORDIC Processor for Wireless Communication Algorithms." Journal of VLSI Signal Processing-Systems for Signal, Image, and Video Technology 38, no. 2 (2004): 115–30. http://dx.doi.org/10.1023/b:vlsi.0000040424.11334.34.

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11

Abdelkrim, Zitouni, Almimouni Ashwag, and Elhajji Majdi. "Low power design of wireless endoscopy compression/communication architecture." Journal of Electrical Systems and Information Technology 5, no. 1 (2018): 35–47. http://dx.doi.org/10.1016/j.jesit.2017.01.006.

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12

Cho, Koon-Shik, and Jun-Dong Cho. "Low Power Digital Multimedia Telecommunication Designs." VLSI Design 12, no. 3 (2001): 301–15. http://dx.doi.org/10.1155/2001/43078.

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The increasing prominence of wireless multimedia systems and the need to limit power capability in very-high density VLSI chips have led to rapid and innovative developments in low-power design. Power reduction has emerged as a significant design constraint in VLSI design. The need for wireless multimedia systems leads to much higher power consumption than traditional portable applications. This paper presents possible optimization technique to reduce the energy consumption for wireless multimedia communication systems. Four topics are presented in the wireless communication systems subsection

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13

Gao, Feng, and Zhi Hua Hu. "The Security Mechanism for Wireless Sensor Networks." Applied Mechanics and Materials 256-259 (December 2012): 2392–95. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.2392.

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In recent years, with advances in microelectronics technology and wireless communication technology which promote the rapid development of low power, low price, multifunction sensor, and it also contributed to the development of wireless sensor networks. Wireless sensor network can be used in military, medical and commercial areas. This paper mainly described the characteristics of wireless sensor networks, security threats in the communication process and analyzed its security needs of taking security mechanisms to ensure the security of wireless communications.

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14

Babušiak, Branko, and Štefan Borik. "Bluetooth Communication for Battery Powered Medical Devices." Journal of Electrical Engineering 67, no. 1 (2016): 65–68. http://dx.doi.org/10.1515/jee-2016-0010.

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Abstract wireless communication eliminates obtrusive cables associated with wearable sensors and considerably increases patient comfort during measurement and collection of medical data. Wireless communication is very popular in recent years and plays a significant role in telemedicine and homecare applications. Bluetooth technology is one of the most commonly used wireless communication types in medicine. This paper describes the design of a universal wireless communication device with excellent price/performance ratio. The said device is based on the low-cost RN4020 Bluetooth module with Mic

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15

Sim, Shaina Suresh, Roger, Dr Veeraiyah Thangasamy, and Vinukumar Luckose Dr Rekha Labade. "Design and Implementation of Bi-Directional Wireless Communication Based on Low-Power LED-to-LED Link." International Journal of Trend in Scientific Research and Development Special Issue, Special Issue-ICAEIT2017 (2018): 222–27. http://dx.doi.org/10.31142/ijtsrd19145.

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16

Subrahmanyeswara Rao, Tammireddi J. V., T. V. N. L. Aswini, and M. Venu Gopal Rao. "Implementation of Low-Power Adaptive Viterbi Decoder for Wireless Communication." International Journal on Communications Antenna and Propagation (IRECAP) 5, no. 6 (2015): 316. http://dx.doi.org/10.15866/irecap.v5i6.7421.

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17

Jang, Byung-Jun, Jihao Rong, and Hosung Choo. "Switched Array Antenna Beamforming for Low-Power IoT Wireless Communication." Journal of Korean Institute of Electromagnetic Engineering and Science 31, no. 8 (2020): 713–20. http://dx.doi.org/10.5515/kjkiees.2020.31.8.007.

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18

Nair, V., S. Tehrani, R. L. Vaitkus, and D. G. Scheitlin. "Low power HFET down converter MMIC's for wireless communication applications." IEEE Transactions on Microwave Theory and Techniques 43, no. 12 (1995): 3043–47. http://dx.doi.org/10.1109/22.475672.

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19

Sohn, Illsoo, Yong Hun Jang, and Sang Hyun Lee. "Ultra-Low-Power Implantable Medical Devices: Optical Wireless Communication Approach." IEEE Communications Magazine 58, no. 5 (2020): 77–83. http://dx.doi.org/10.1109/mcom.001.1900609.

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20

Vilajosana, Xavier, Pere Tuset-Peiro, Francisco Vazquez-Gallego, Jesus Alonso-Zarate, and Luis Alonso. "Standardized Low-Power Wireless Communication Technologies for Distributed Sensing Applications." Sensors 14, no. 2 (2014): 2663–82. http://dx.doi.org/10.3390/s140202663.

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21

Tsung-Hsien Lin, W. J. Kaiser, and G. J. Pottie. "Integrated low-power communication system design for wireless sensor networks." IEEE Communications Magazine 42, no. 12 (2004): 142–50. http://dx.doi.org/10.1109/mcom.2004.1367566.

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22

Yu, Chu, Bor-Shing Lin, Po-Hsun Cheng, and Yu-Shan Su. "Low-power multi-standard Viterbi decoder for wireless communication applications." International Journal of Electronics Letters 4, no. 2 (2015): 228–38. http://dx.doi.org/10.1080/21681724.2015.1028472.

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23

Cheng, Shin-Pao, and Shi-Yu Huang. "A low-power SRAM for Viterbi decoder in wireless communication." IEEE Transactions on Consumer Electronics 54, no. 2 (2008): 290–95. http://dx.doi.org/10.1109/tce.2008.4560088.

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24

Long, Shou Yang, Xin Lu, and Ye Shen He. "Research and Application of a Solution to Acquire Electric Energy Data." Applied Mechanics and Materials 644-650 (September 2014): 3505–8. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3505.

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The electric energy data acquire system with full coverage of power user is the important component of the deployment of strong & smart grid. The low-voltage power line communication has become a mainstream technology in the construction of electric energy data acquire system in China. Micro-power wireless is a short-range, low-power, low complexity, low-cost wireless communication technology, which has the characteristics of large capacity, short delay and high stability. However, a single communication mode is hard to meet the requirement of full coverage of electric power user because t

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25

Wang, Yi, Shan Zhen, Xing Zhe Hou, Hong Liang Sun, Kai Bo Luo, and Tan Jie Zhou. "Virtual-MIMO Cooperation Communication Based on Integrated Power Line and Wireless Communication System." Advanced Materials Research 986-987 (July 2014): 2086–90. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.2086.

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Power line communication (PLC) is a competitive technology in broad band access services and smart grids considering it widely distribution and low infrastructure built cost. This paper proposes a new PLC virtual MIMO cooperation system merged with the wireless communication to improve the reliability and capacity performance of conventional PLC system. A wireless interface is integrated in the conventional PLC modems. The nearby PLC modems constitute a V-MIMO module to share their transmitting information via the wireless link. The PLC modem in different V-MIMO module can communicate with eac

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26

Kumar, V. Vinod, and M. Meenakshi. "Tunable Low Power UWB Transmitter for WBAN Application." Journal of Circuits, Systems and Computers 24, no. 03 (2015): 1550040. http://dx.doi.org/10.1142/s0218126615500401.

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This paper presents the design and simulation results for a Federal Communication Committee (FCC) complaint current starved delay line based Ultra Wide Band (UWB) Gaussian pulse transmitter, which is designed for operating in the 3.1–10.6 GHz range. The wavelet is a mono cycle Gaussian impulse wave, which is practically well suited for low cost, low power, low data rate wireless data transfer such as in wireless body area network (WBAN) applications. The transmitter operating frequency and bandwidth (BW) is controlled using a dc voltage provided at the input stage of a voltage controlled delay

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27

Ismail, Mohamed, Imran Ahmed, and Justin Coon. "Low Power Decoding of LDPC Codes." ISRN Sensor Networks 2013 (January 17, 2013): 1–12. http://dx.doi.org/10.1155/2013/650740.

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Wireless sensor networks are used in many diverse application scenarios that require the network designer to trade off different factors. Two such factors of importance in many wireless sensor networks are communication reliability and battery life. This paper describes an efficient, low complexity, high throughput channel decoder suited to decoding low-density parity-check (LDPC) codes. LDPC codes have demonstrated excellent error-correcting ability such that a number of recent wireless standards have opted for their inclusion. Hardware realisation of practical LDPC decoders is a challenging

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28

Kadri, Abdullah, Raveendra K. Rao, and Jin Jiang. "Low-Power Chirp Spread Spectrum Signals for Wireless Communication Within Nuclear Power Plants." Nuclear Technology 166, no. 2 (2009): 156–69. http://dx.doi.org/10.13182/nt09-3.

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29

S. Raj, Jennifer. "Novel Architecture for Wireless Power Transfer in Unmanned Arial Vehicles." December 2020 2, no. 4 (2021): 165–70. http://dx.doi.org/10.36548/jsws.2020.4.005.

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There has been a rapid growth in research towards developing smart, low-cost, and high-performance unmanned aerial vehicles (UAVs) for enabling wireless data transfer and communication. The practical applications of UAVs in healthcare, surveillance, agriculture and other domains is increasing at a faster pace. Mass production of these UAVs is essential to meet the growing communication requirements. Plans towards standardization and global deployment of Internet-of-Things (IoT) technologies and fifth generation (5G) wireless communication are in progress. Functional diversity is established by

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30

Farooq, Muhammad, and Dirk Pesch. "Reduced Overhead Routing in Short-Range Low-Power and Lossy Wireless Networks." Sensors 19, no. 5 (2019): 1240. http://dx.doi.org/10.3390/s19051240.

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In this paper we present enhanced routing protocol for low-lower and lossy networks (ERPL), a reduced overhead routing protocol for short-range low-power and lossy wireless networks, based on RPL. ERPL enhances peer-to-peer (P2P) route construction and data packet forwarding in RPL’s storing and non-storing modes of operation (MoPs). In order to minimize source routing overhead, it encodes routing paths in Bloom Filters (BF). The salient features of ERPL include the following: (i) optimized P2P routing and data forwarding; (ii) no additional control messages; and (iii) minimized source routing

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31

Helali, Abdelhamid, Feten Ouni, Mohsen Nasri, and Hassen Maaref. "Adaptive low-power CMOS LNA in internet of things based wireless sensor networks." International Journal of Engineering & Technology 9, no. 3 (2020): 616. http://dx.doi.org/10.14419/ijet.v9i3.30824.

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With the increasing need for the Internet of things (IoT), wireless communication has become a popular technology for the network. This explosion of IoT wireless applications makes the power consumption a key metric in the design of wireless sensor nodes. The major constraint of the wireless sensors nodes is battery energy, which is the mainly challenging problem in designing IoT network. these constraints have imposed new yet stringent specs to the design of RF front-ends. The design of adaptive radio-frequency circuits, in order to reduce power consumption, is of interest. In a RF receiver c

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32

Cho, Soohwan, Deokyoon Ko, and Sooyoung Park. "Block Data Record-Based Dynamic Encryption Key Generation Method for Security between Devices in Low Power Wireless Communication Environment of IoT." Applied Sciences 10, no. 21 (2020): 7940. http://dx.doi.org/10.3390/app10217940.

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The Internet of Things uses low-power wireless communication for wireless connectivity and efficient energy. Low-power wireless communication is applied to IoT for wireless connection and efficient energy consumption in various areas such as wearable devices, smart homes, and power plants in order to send and receive data and control the environment. Security is becoming more important because the Internet of Things controls real physical systems. For the security of the Internet of Things, the encryption key is important to identify and authenticate devices that are trusted. The static encryp

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33

Prajapati, Bhavna, Swapnil Jain, and Braj Bihari. "Review of Wide Bandwidth Low Power Low NOISE Amplifier for Modern Wireless Communication." International Journal of Computer Applications 137, no. 14 (2016): 28–32. http://dx.doi.org/10.5120/ijca2016908980.

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34

Fang, Xiaolin, Ming Yang, and Wenjia Wu. "Security Cost Aware Data Communication in Low-Power IoT Sensors with Energy Harvesting." Sensors 18, no. 12 (2018): 4400. http://dx.doi.org/10.3390/s18124400.

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Security is a critical concern in low-power IoT (Internet of Things) wireless sensors because these resource constrained devices are easy to attack and meanwhile the energy constraint sensors will consume a lot of energy to run algorithms for security purposes. We study the energy efficiency data transmission problem in IoT sensors that use capacitors to harvest wireless energy while considering the energy cost for running security algorithms. Energy harvesting with capacitors has the characteristic that the energy harvesting rate varies over time, and it is getting slower and slower as the ca

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35

Si, Hai Fei, and Zhong Yang. "Wireless Sensor Network Programming Based on IEEE802.15.4." Advanced Materials Research 433-440 (January 2012): 3614–22. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3614.

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Wireless sensor network (WSN) requires a wireless communication technology which is low in cost, low in power and easy to be implemented. IEEE802.15.4 standard is the standard specially designed for low-rate wireless personal area network (LR-WPAN) and aimed at introducing an unified standard for the low-rate interconnection between different devices used by a person or in a home, focusing on low power consumption, low-rate transmission and low cost. Since LR-WPAN which is defined on the basis of standard IEEE802.15.4 is of great similarity with WSN, it could be used as communication platform

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36

Verbauwhede, Ingrid, and Mihran Touriguian. "Low power DSP engine for wireless communications." Computer Standards & Interfaces 20, no. 6-7 (1999): 436. http://dx.doi.org/10.1016/s0920-5489(99)90885-1.

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37

Lee, Hyunseok, Chaitali Chakrabarti, and Trevor Mudge. "A Low-Power DSP for Wireless Communications." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 18, no. 9 (2010): 1310–22. http://dx.doi.org/10.1109/tvlsi.2009.2023547.

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38

FUJISHIMA, Minoru, Shuhei AMAKAWA, Kyoya TAKANO, Kosuke KATAYAMA, and Takeshi YOSHIDA. "Tehrahertz CMOS Design for Low-Power and High-Speed Wireless Communication." IEICE Transactions on Electronics E98.C, no. 12 (2015): 1091–104. http://dx.doi.org/10.1587/transele.e98.c.1091.

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39

Sojka, Peter, and Viliam Jaros. "Design of a wireless communication based on low power RF transceivers." Transportation Research Procedia 40 (2019): 505–10. http://dx.doi.org/10.1016/j.trpro.2019.07.073.

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40

Okuhata, Hiroyuki, Hiroshi Uno, Keiji Kumatani, Isao Shirakawa, and Toru Chiba. "A Low Power Receiver Architecture for 4 Mbps Infrared Wireless Communication." Journal of Circuits, Systems and Computers 07, no. 05 (1997): 483–94. http://dx.doi.org/10.1142/s021812669700036x.

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A high performance and low power architecture is devised for a 4 Mbps infrared wireless communication system dedicated to mobile computing. In this architecture, 4PPM (4-Pulse Position Modulation) infrared signals detected by an infrared receiver are digitized into TTL interface level pulses, and the digitized pulses are demodulated by a 1-bit digital demodulator. To extend the range of the link length, a 4PPM demodulator is synthesized to implement a demodulation algorithm which is constructed so as to accommodate the output tolerance of the infrared receiver. A part of the experimental resul

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41

Mahdir, N. A. F., M. N. Osman, T. Sabapathy, M. Jusoh, and N. A. F. M. Zainudin. "Beam Steering Monopole Antenna for Low Power Wireless Communication in WSN." IOP Conference Series: Materials Science and Engineering 767 (March 21, 2020): 012029. http://dx.doi.org/10.1088/1757-899x/767/1/012029.

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42

C. A. D, Pahalson, and Nanchen Nimyel Caleb. "5G Wireless Communications for Future Internet of Things: The Need for Free-Space Optical/Visible Light Communication Technology." International Journal of Computer Science and Mobile Computing 8, no. 12 (2019): 124–32. http://dx.doi.org/10.47760/ijcsmc.2019.v08i12.001.

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IoT networks have some important characteristics. Some key requirements of the IoT are low device cost, low deployment cost, high energy efficiency, high security and privacy, and support for a large number of devices. The LED-based OWC systems have all the great features required to support the IoT. The key technologies currently used for IoT connectivity are Zigbee, Bluetooth Low Energy (BLE), and WiFi. ZigBee is a low-cost, low-power, wireless mesh network standard that has been widely used for IoT applications. The Internet of Things (IoT) based on the tactile internet will also be an esse

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43

Chen, Zhi Wei, and Yu Ming Gan. "Analysis on WPAN Mechanism Based on 802.15.4 and Data Structure Design." Applied Mechanics and Materials 686 (October 2014): 434–38. http://dx.doi.org/10.4028/www.scientific.net/amm.686.434.

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IEEE802.15.4 is the communication protocol meeting the requirements of short distance and low transmission rate, and achieving the objective of low power. The technique is an emerging wireless communication standard. It is a two-way wireless communication technology with short distance, low complexity, low power consumption and low data transmission rate and low cost. The paper analyzes the features, framework,performance indicators and overall hardware platform structure of JN5121 chip which is used in JENNIC Corporation. And the paper researches the characteristics of actual products for pro

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Choi and Yi. "Neighbor Discovery Optimization for Big Data Analysis in Low-Power, Low-Cost Communication Networks." Symmetry 11, no. 7 (2019): 836. http://dx.doi.org/10.3390/sym11070836.

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Big data analysis generally consists of the gathering and processing of raw data and producing meaningful information from this data. These days, large collections of sensors, smart phones, and electronic devices are all connected in the network. One of the primary features of these devices is low-power consumption and low cost. Power consumption is one of the important research concerns in low-power, low-cost communication networks such as sensor networks. A primary feature of sensor networks is a distributed and autonomous system. Therefore, all network devices in this type of network mainta

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45

Lee, Shuenn-Yuh, and Chun-Cheng Lai. "A 1-V Wideband Low-Power CMOS Active Differential Power Splitter for Wireless Communication." IEEE Transactions on Microwave Theory and Techniques 55, no. 8 (2007): 1593–600. http://dx.doi.org/10.1109/tmtt.2007.901130.

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46

Lei, Shi. "Design of Data Acquisition System Based on Zigbee for Wireless Sensor Networks." MATEC Web of Conferences 246 (2018): 03036. http://dx.doi.org/10.1051/matecconf/201824603036.

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With the continuous development of modern network technology, sensor technology and wireless communication technologies, the emergence and development of wireless sensor networks has been promoted. Among many wireless communication technologies, wireless communication technology featuring low power consumption, close proximity and low cost for ZigBee has attracted the research interest of researchers. Based on the current status of communication systems, based on the review and system analysis of wireless sensor networks, this paper proposes a ZigBee-based wireless sensor network data acquisit

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47

Shrimali, Yanita, Janki Ballabh Sharma, and R. S. Meena. "VHDL Implementation of low power turbo coded OFDM physical layer for wireless communication." International Journal of Engineering & Technology 7, no. 4.5 (2018): 665. http://dx.doi.org/10.14419/ijet.v7i4.5.25054.

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Orthogonal Frequency Division Multiplexing (OFDM) is exceptionally favored system for rapid information transmission over remote channel. In this paper, VHDL implementation of low power turbo-coded OFDM (TCOFDM) Physical layer architecture is presented. In this architecture a low power memory-less pipelined FFT processor and Log-map turbo encoder/decoders are used to provide high throughput and lower complexity. Log-map turbo decoder provides high speed with good error correction capacity, while FFT/IFFT processor with single delay feedback (SDF) memory less architecture provide improved area

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48

Loreti, Pierpaolo, Alexandro Catini, Massimiliano De Luca, Lorenzo Bracciale, Gabriele Gentile, and Corrado Di Natale. "Ultra Low Power Wireless Sensor Network for Pink Iguanas Monitoring." Proceedings 2, no. 13 (2018): 978. http://dx.doi.org/10.3390/proceedings2130978.

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Energy management is a key issue in the design of long-lived wireless sensor networks. (WSNs). Energy is used to collect data by sensors and to communicate it to other nodes and to the gateways. The energy management procedures aim at minimizing the energy consumption of both the data acquisition and transmission activities. A careful design is crucial when the devices are powered by energy harvesting techniques, such as solar power. This paper describes a device architecture for a WSN node designed to monitor the habit of pink iguanas: a recently discovered species living in remote locations

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49

DeGaspari, John. "Tiny, Tuned, and Unattached." Mechanical Engineering 123, no. 07 (2001): 50–54. http://dx.doi.org/10.1115/1.2001-jul-1.

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Work is under way to create high-end integrated microsystems that can sense, crunch data, and communicate wirelessly—in a package the size of a sugar cube. Research is under way to bring wireless communication down to the micro level, laying the groundwork for next-generation sensing systems. Wireless sensors assume low manufacturing costs, low power use, and an elevated level of integration. Power dissipation must be low enough to permit an acceptable lifetime for the device. One effort working to make this vision a reality is the Wireless Integrated Microsystems (WIMS) project—a research con

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Wong, Yan Chiew, Szi Hui Tan, Ranjit Singh Sarban Singh, Haoyu Zhang, A. R. Syafeeza, and N. A. Hamid. "Low power wake-up receiver based on ultrasound communication for wireless sensor network." Bulletin of Electrical Engineering and Informatics 9, no. 1 (2020): 21–29. http://dx.doi.org/10.11591/eei.v9i1.1654.

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Abstract:

Wireless sensor network (WSN) consists of base stations and sensors nodes to monitor physical and environmental conditions. Power consumption is a challenge in WSN due to activities of nodes. High power consumption is required for the main transceiver in WSN to receive communication requests all the time. Hence, a low power wake-up receiver is needed to minimize the power consumption of WSN. In this work, a low power wake-up receiver using ultrasound data communication is designed. Wake-up receiver is used to detect wake-up signal to activate a device in WSN. Functional block modelling of the

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