Ultra Low Power Energy Storage Circuit for Piezoelectric Nanogenerators

2011 ◽  
Author(s):  
Richard Galos ◽  
Xi Chen ◽  
Yong Shi
Keyword(s):  
Wireless Sensor Network ◽  
Wireless Sensor ◽  
Power Budget ◽  
Time Intervals ◽  
Ultra Low Power ◽  
Energy Conversion And Storage ◽  
Environmental Acoustics ◽  
Self Powered ◽  
And Storage ◽  
Piezoelectric Nanogenerators

MEMS and NEMs devices benefit many applications due to their unique performance and tiny size. We have researched replacing components of a Wireless Sensor Network (WSN) mote with several such devices. In this paper, we present an energy conversion and storage circuit that can be used with piezoelectric nanogenerators for self powered motes. Energy from external vibration or environmental acoustics is capacitively stored and released at certain time intervals according to the application. Stored and lost power is compared against a detailed WSN mote power budget to size the generator and capacitor.

scholarly journals A Self-Powered PMFC-Based Wireless Sensor Node for Smart City Applications

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Daniel Ayala-Ruiz ◽  
Alejandro Castillo Atoche ◽  
Erica Ruiz-Ibarra ◽  
Edith Osorio de la Rosa ◽  
Javier Vázquez Castillo
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Sensor Node ◽  
Smart Cities ◽  
Cloud Services ◽  
Environmental Data ◽  
Security And Privacy ◽  
Wireless Sensor ◽  
Ultra Low Power ◽  
Self Powered

Long power wide area networks (LPWAN) systems play an important role in monitoring environmental conditions for smart cities applications. With the development of Internet of Things (IoT), wireless sensor networks (WSN), and energy harvesting devices, ultra-low power sensor nodes (SNs) are able to collect and monitor the information for environmental protection, urban planning, and risk prevention. This paper presents a WSN of self-powered IoT SNs energetically autonomous using Plant Microbial Fuel Cells (PMFCs). An energy harvesting device has been adapted with the PMFC to enable a batteryless operation of the SN providing power supply to the sensor network. The low-power communication feature of the SN network is used to monitor the environmental data with a dynamic power management strategy successfully designed for the PMFC-based LoRa sensor node. Environmental data of ozone (O3) and carbon dioxide (CO2) are monitored in real time through a web application providing IoT cloud services with security and privacy protocols.

scholarly journals A PKC-based security architecture for WSN

2020 ◽  
Vol 309 ◽  
pp. 02006
Author(s):  
Jianbo Yao ◽  
Chaoqiong Yang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Public Key Cryptography ◽  
Public Key ◽  
Wireless Sensor ◽  
Security Architecture ◽  
Important Challenge ◽  
Identity Based ◽  
And Storage ◽  
Energy Computation

It is an important challenge to find out suitable cryptography for WSN due to limitations of energy, computation capability and storage resources. Considering this sensor feature on limitations of resources, a security architecture based-on public key cryptography is proposed. The security architecture is based on identity based cryptosystem, but not requires key handshaking. The analysis shows that the security architecture ensures a good level of security and is very much suitable for the resources constrained trend of wireless sensor network.

Battery-free short-range self-powered wireless sensor network (SS-WSN) using TENG based direct sensory transmission (TDST) mechanism

Nano Energy ◽  
2020 ◽  
Vol 67 ◽  
pp. 104266 ◽  
Author(s):  
Feng Wen ◽  
Hao Wang ◽  
Tianyiyi He ◽  
Qiongfeng Shi ◽  
Zhongda Sun ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Short Range ◽  
Wireless Sensor ◽  
Sensory Transmission ◽  
Self Powered

Implementation of Fuzzy Based Simulation for Clone Detection in Wireless Sensor Networks

2016 ◽  
Vol 6 (4) ◽  
pp. 1570
Author(s):  
Manjunatha R C ◽  
Rekha K R ◽  
Nataraj K R
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Clone Detection ◽  
Storage Overhead ◽  
And Performance ◽  
And Storage ◽  
Compromised Nodes

<p>Wireless sensor networks are usually left unattended and serve hostile environment, therefore can easily be compromised. With compromised nodes an attacker can conduct several inside and outside attacks. Node replication attack is one of them which can cause severe damage to wireless sensor network if left undetected. This paper presents fuzzy based simulation framework for detection and revocation of compromised nodes in wireless sensor network. Our proposed scheme uses PDR statistics and neighbor reports to determine the probability of a cluster being compromised. Nodes in compromised cluster are then revoked and software attestation is performed.Simulation is carried out on MATLAB 2010a and performance of proposed scheme is compared with conventional algorithms on the basis of communication and storage overhead. Simulation results show that proposed scheme require less communication and storage overhead than conventional algorithms.</p>

Implementation of Fuzzy Based Simulation for Clone Detection in Wireless Sensor Networks

2016 ◽  
Vol 6 (4) ◽  
pp. 1570
Author(s):  
Manjunatha R C ◽  
Rekha K R ◽  
Nataraj K R
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Clone Detection ◽  
Storage Overhead ◽  
And Performance ◽  
And Storage ◽  
Compromised Nodes

<p>Wireless sensor networks are usually left unattended and serve hostile environment, therefore can easily be compromised. With compromised nodes an attacker can conduct several inside and outside attacks. Node replication attack is one of them which can cause severe damage to wireless sensor network if left undetected. This paper presents fuzzy based simulation framework for detection and revocation of compromised nodes in wireless sensor network. Our proposed scheme uses PDR statistics and neighbor reports to determine the probability of a cluster being compromised. Nodes in compromised cluster are then revoked and software attestation is performed.Simulation is carried out on MATLAB 2010a and performance of proposed scheme is compared with conventional algorithms on the basis of communication and storage overhead. Simulation results show that proposed scheme require less communication and storage overhead than conventional algorithms.</p>

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