Results 1 - 10
of
44
Utility optimal scheduling in energy harvesting networks
- Proceedings of ACM International Symposium on Mobile Ad Hoc Networking and Computing (MOBIHOC
, 2011
"... ar ..."
(Show Context)
Wireless sensor networks with energy harvesting
- MOBILE AD HOC NETWORKING: CUTTING EDGE DIRECTIONS
, 2013
"... This chapter covers the fundamental aspects of energy harvesting-based wireless sensor networks (EHWSNs), ranging from the architecture of an EHWSN node and of its energy subsystem, to protocols for task allocation, MAC, and routing, passing through models for predicting energy availability. With th ..."
Abstract
-
Cited by 13 (8 self)
- Add to MetaCart
(Show Context)
This chapter covers the fundamental aspects of energy harvesting-based wireless sensor networks (EHWSNs), ranging from the architecture of an EHWSN node and of its energy subsystem, to protocols for task allocation, MAC, and routing, passing through models for predicting energy availability. With the advancement of energy harvesting techniques, along with the development of small factor harvester for many different energy sources, EHWSNs are poised to become the technology of choice for the host of applications that require the network to function for years or even decades. Through the definition of new hardware and communication protocols specifically tailored to the fundamentally different models of energy availability, new applications can also be conceived that rely on “perennial ” functionalities from networks that are truly self-sustaining and with low environmental impact. Wireless sensor networks (WSNs) have played a major role in the research field of multihop wireless networks as enablers of applications ranging from environmental
Dynamic compression-transmission for energy-harvesting multihop networks with correlated sources
- IEEE/ACMTransactions on Networking
, 2013
"... ar ..."
(Show Context)
Analytic Conditions For Energy Neutrality In Uniformly-formed Wireless Sensor Networks
"... Copyright & reuse City University London has developed City Research Online so that its users may access the research outputs of City University London's staff. Copyright © and Moral Rights for this paper are retained by the individual author(s) and / or other copyright holders. All materia ..."
Abstract
-
Cited by 4 (3 self)
- Add to MetaCart
(Show Context)
Copyright & reuse City University London has developed City Research Online so that its users may access the research outputs of City University London's staff. Copyright © and Moral Rights for this paper are retained by the individual author(s) and / or other copyright holders. All material in City Research Online is checked for eligibility for copyright before being made available in the live archive. URLs from City Research Online may be freely distributed and linked to from other web pages. Versions of research The version in City Research Online may differ from the final published version. Users are advised to check the Permanent City Research Online URL above for the status of the paper. Enquiries If you have any enquiries about any aspect of City Research Online, or if you wish to make contact with the author(s) of this paper, please email the team at publications@city.ac.uk.IEEE TRANS. ON WIRELESS COMMUNICATIONS, PAPER-TW-OCT-12-1649.R2 1
Self-Powered Ultra-low Power DC-DC Converter for RF Energy Harvesting
"... Abstract—In this paper, an autonomous low voltage and ultra-low power DC-DC converter is presented. This novel topology is inspired from the classical Armstrong oscillator structure. In addition to be self-powered and autonomous, this converter is suitable for high-impedance sources. Theoretical and ..."
Abstract
-
Cited by 2 (0 self)
- Add to MetaCart
(Show Context)
Abstract—In this paper, an autonomous low voltage and ultra-low power DC-DC converter is presented. This novel topology is inspired from the classical Armstrong oscillator structure. In addition to be self-powered and autonomous, this converter is suitable for high-impedance sources. Theoretical and simulation-based optimizations are used in order to design the converter. A fabricated prototype is tested. It harvests RF energy from a low power rectenna (rectifying antenna). High output voltage and good performances are achieved in the range of 4µW to 1mW of input power. Keywords- ultra-low power, low voltage, self-oscillating DC-DC converter, RF energy harvesting, rectenna. I.
Towards enabling uninterrupted long-term operation of solar energy harvesting embedded systems
- In Wireless Sensor Networks; Krishnamachari
"... Abstract In this work we describe a systematic approach to power subsystem capacity planning for solar energy harvesting embedded systems, such that unin-terrupted, long-term (i.e., multiple years) operation at a predefined performance level may be achieved. We propose a power subsystem capacity pla ..."
Abstract
-
Cited by 2 (1 self)
- Add to MetaCart
(Show Context)
Abstract In this work we describe a systematic approach to power subsystem capacity planning for solar energy harvesting embedded systems, such that unin-terrupted, long-term (i.e., multiple years) operation at a predefined performance level may be achieved. We propose a power subsystem capacity planning algo-rithm based on a modified astronomical model to approximate the harvestable energy and compute the required battery capacity for a given load and harvesting setup. The energy availability model takes as input the deployment site’s latitude, the panel orientation and inclination angles, and an indication of expected meteo-rological and environmental conditions. We validate the model’s ability to predict the harvestable energy with power measurements of a solar panel. Through sim-ulation with 10 years of solar traces from three different geographical locations and four harvesting setups, we demonstrate that our approach achieves 100% availability at up to 53 % smaller batteries when compared to the state-of-the-art.
Harvesting Ambient Environmental Energy for Wireless Sensor Networks: A
"... In recent years, wireless sensor networks (WSNs) have grown dramatically and made a great progress in many applications. But having limited life, batteries, as the power sources of wireless sensor nodes, have restricted the development and application of WSNs which often requires a very long lifesp ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
(Show Context)
In recent years, wireless sensor networks (WSNs) have grown dramatically and made a great progress in many applications. But having limited life, batteries, as the power sources of wireless sensor nodes, have restricted the development and application of WSNs which often requires a very long lifespan for better performance. In order to make the WSNs prevalent in our lives, an alternative energy source is required. Environmental energy is an attractive power source, and it provides an approach to make the sensor nodes self-powered with the possibility of an almost infinite lifetime. The goal of this survey is to present a comprehensive review of the recent literature on the various possible energy harvesting technologies from ambient environment for WSNs.
Circuit Area Optimization in Energy Temporal Sparse Scenarios for Multiple Harvester Powered Systems
"... Abstract—Multi-source energy harvesters are gaining interest as a robust alternative to power wireless sensors, since the sensor node can maintain its operation regardless of the fact that one of its energy sources might be temporarily unavailable. Interestingly, and less explored, when the energy a ..."
Abstract
-
Cited by 1 (1 self)
- Add to MetaCart
(Show Context)
Abstract—Multi-source energy harvesters are gaining interest as a robust alternative to power wireless sensors, since the sensor node can maintain its operation regardless of the fact that one of its energy sources might be temporarily unavailable. Interestingly, and less explored, when the energy availability of the energy sources present large temporal variations, combining multiple energy sources reduce the overall sparsity. As a result, the performance of a multiple energy harvester powered sensor node is significantly better compared to a single energy source which harvests the same amount of energy. In this context, a circuit area optimization framework for multiple source energy harvesting powered systems is proposed. This framework takes advantage of this improvement in performance to provide the optimal amount of energy harvesters, the requirements of each energy harvester and the required energy buffer capacity, such that the overall area or volume is minimized. As the results show, by conducting a joint design of the energy harvesters and the energy buffer, the overall area or volume of a sensor node can be significantly reduced. I.
1 Energy-Neutral Source-Channel Coding with Battery and Memory Size Constraints
"... ar ..."
(Show Context)
Making Evildoers Pay: Resource-Competitive Broadcast in Sensor Networks
- In Proceedings of the 31th Symposium on Principles of Distributed Computing (PODC
, 2012
"... ar ..."
(Show Context)