Power management in energy harvesting sensor networks

By Aman Kansal, Jason Hsu, Sadaf Zahedi, Mani B. Srivastava. TECS, 2007

1,595 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/aa89fdf694b68f21843c8787fb2b107f134c3280

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Wireless sensor networks powered by ambient energy harvesting (WSN-HEAP) - Survey and challenges (2009, neutral): “A power management system, incorporating an analytical model for predicting various performance metrics, adaptive duty cycles and other related aspects, has also been developed [15].”
Energy-Harvesting Wireless Sensor Networks (EH-WSNs) (2018, background): “For example, for solar energy, an Exponential Weighted Moving Average (EWMA) algorithm assumes the energy generation at a certain time is an exponentially weighted moving average of the energy harvested at the same time on previous days (Kansal et al. 2007).”
The Power of Models: Modeling Power Consumption for IoT Devices (2015, methodology): “In this scheme, energy follows the energy flow model described in [3], which is summarized in Eq.”
Energy Harvesting Sensor Nodes: Survey and Implications (2011, methodology): “An alternative approach to energy availability prediction uses an Exponentially Weighted Moving-Average (EWMA) filter [20].”
Internet of things: Vision, applications and research challenges (2012, background): “A comprehensive take at the technological problem of energy harvesting in real devices is described in [54].”
Optimal Energy Allocation for Wireless Communications With Energy Harvesting Constraints (2011, methodology): “In [4], adaptive duty cycling is employed for throughput maximization and implemented in practical systems.”
Making Sensor Networks Immortal: An Energy-Renewal Approach With Wireless Power Transfer (2012, methodology): “In this paper, we investigate the operation of a sensor network under this new enabling energy transfer technology.”
Voluntary Energy Harvesting Relays and Selection in Cooperative Wireless Networks (2010, methodology): “For example, a leaky bucket model, motivated by Internet traffic modeling, was used in [11].”
Throughput Optimal Policies for Energy Harvesting Wireless Transmitters with Non-Ideal Circuit Power (2012, background): “Recently, a new design paradigm for achieving green wireless communication has drawn a great deal of attention, in which wireless terminals are powered primarily or even solely by harvesting the energy from environmental sources such as solar and wind, thereby reducing substantially the energy cost ”
Renewable and cooling aware workload management for sustainable data centers (2012, neutral): “A variety of methods have been used for fine-grained energy prediction, mostly using classical auto-regressive techniques [36, 37].”
LifeLogging: Personal Big Data (2014, background): “Energy scavenging is an important topic for wearable sensors and good progress is being made in this field, as shown in Kansal et al. (2007).”
Advances in Energy Harvesting Communications: Past, Present, and Future Challenges (2016, background): “The authors in [74] study the information-theoretic results for the problem of information and power transfer on a coupled-inductor circuit.”
Optimal energy management policies for energy harvesting sensor nodes (2008, background): “These are reasonable assumptions ([11]).”
Adaptive Control of Duty Cycling in Energy-Harvesting Wireless Sensor Networks (2007, background): “Recent work [1]–[4] has explored scenarios in which nodes can harvest energy from their environment (e.g., from the sun) and use it to recharge their batteries.”
Throughput Maximization for the Gaussian Relay Channel with Energy Harvesting Constraints (2011, background): “In [1], [2], the authors investigated the power management strategies for WSNs with EH nodes, for which random EH models were assumed.”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “erent EH architectures: (i) Harvest-Use: Energy is harvested just-in-time for use and (ii) Harvest-Store-Use: The energy is harvested whenever possible and stored into a battery for future use [109], [115]. Nodes in an EH based communication network can perform different tasks such as sensing/listen”