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Network life time maximization is becoming an important design goal in wireless sensor networks. Energy harvesting has recently become a preferred choice for achieving this goal as it provides near perpetual operation. We study such a…

信息论 · 计算机科学 2016-11-17 R. Rajesh , Vinod Sharma , Pramod Viswanath

This work considers a system with two energy harvesting (EH) nodes transmitting to a common destination over a random access channel. The amount of harvested energy is assumed to be random and independent over time, but correlated among the…

性能 · 计算机科学 2019-02-14 Mehdi Salehi Heydar Abad , Deniz Gunduz , Ozgur Ercetin

Wireless sensor network (WSN) is a collection of nodes which can communicate with each other without any prior infrastructure along with the ability to collect data autonomously and effectively after being deployed in an ad-hoc fashion to…

网络与互联网体系结构 · 计算机科学 2012-04-16 Subhabrata Mukherjee , Anand Seetharam , Abhishek Bhattacharyya , Mrinal. K. Naskar , Amitava Mukherjee

Wireless Sensor Network (WSN) is an attractive choice for a variety of applications as no wired infrastructure is needed. Other wireless networks are not as energy constrained as WSNs, because they may be plugged into the mains supply or…

信息论 · 计算机科学 2013-09-12 Eleazar Chukwuka , Kamran Arshad

The Internet of Things (IoT) enables a wide variety of applications where large sensor networks are deployed in remote areas without power grid access. Thus, the sensor nodes often run on batteries, whose replacement and disposal represent…

网络与互联网体系结构 · 计算机科学 2022-12-20 Martina Capuzzo , Carmen Delgado , Jeroen Famaey , Andrea Zanella

Radio frequency (RF) energy harvesting and transfer techniques have recently become alternative methods to power the next generation of wireless networks. As this emerging technology enables proactive replenishment of wireless devices, it…

网络与互联网体系结构 · 计算机科学 2016-11-15 Xiao Lu , Ping Wang , Dusit Niyato , Zhu Han

Wireless Sensor Networks (WSNs) consist of numerous sensors which send sensed data to base station. Energy conservation is an important issue for sensor nodes as they have limited power.Many routing protocols have been proposed earlier for…

网络与互联网体系结构 · 计算机科学 2016-11-15 N. Javaid , S. N. Mohammad , K. Latif , U. Qasim , Z. A. Khan , M. A. Khan

Wireless energy transfer, namely RF-based energy harvesting, is a potential way to prolong the lifetime of energy-constrained devices, especially in wireless sensor networks. However, due to huge propagation attenuation, its energy…

信息论 · 计算机科学 2016-11-17 Tao Li , Pingyi Fan , Zhengchuan Chen , Khaled Ben Letaief

The rapid growth of the so-called Internet of Things is expected to significantly expand and support the deployment of resource-limited devices. Therefore, intelligent scheduling protocols and technologies such as wireless power transfer,…

信息论 · 计算机科学 2021-05-06 Maria Dimitropoulou , Constantinos Psomas , Ioannis Krikidis

A Wireless Power Transfer Network (WPTN) aims to support devices with cable-less energy on-demand. Unfortunately, wireless power transfer itself-especially through radio frequency radiation rectification-is fairly inefficient due to…

网络与互联网体系结构 · 计算机科学 2015-04-03 Qingzhi Liu , Michał Goliński , Przemysław Pawełczak , Martijn Warnier

This paper provides a first study of utilizing energy harvesting for sustainable machine learning in distributed networks. We consider a distributed learning setup in which a machine learning model is trained over a large number of devices…

机器学习 · 计算机科学 2021-02-11 Basak Guler , Aylin Yener

Considering an energy harvesting sensor network, the overall probability of event loss is derived. Based on this result, a variety of harvesting resource allocation schemes (sizing the energy storages and the harvesting devices, under a…

网络与互联网体系结构 · 计算机科学 2013-06-24 Shenqiu Zhang , Alireza Seyedi

Energy harvesting or power harvesting or energy scavenging is a process where energy is derived from external sources (e.g. solar power, thermal energy, wind energy, salinity gradients, kinetic energy etc.), captured, and stored for small,…

网络与互联网体系结构 · 计算机科学 2014-01-21 Sugata Sanyal

As large-scale dense and often randomly deployed wireless sensor networks (WSNs) become widespread, local information exchange between co-located sets of nodes may play a significant role in handling the excessive traffic volume. Moreover,…

The lifetime and the sustainability of the wireless sensor networks (WSNs) can be increased with energy harvesting transmitters utilizing optimum packet scheduling. On the other hand, WSNs are observed to collect spatially or temporally…

信息论 · 计算机科学 2015-04-28 Burhan Gulbahar

Through simultaneous energy and information transfer, radio frequency (RF) energy harvesting (EH) reduces the energy consumption of the wireless networks. It also provides a new approach for the wireless devices to share each other's energy…

信息论 · 计算机科学 2014-10-01 Xueqing Huang , Nirwan Ansari

Energy harvesting offers an attractive and promising mechanism to power low-energy devices. However, it alone is insufficient to enable an energy-neutral operation, which can eliminate tedious battery charging and replacement requirements.…

系统与控制 · 电气工程与系统科学 2021-09-13 Yigit Tuncel , Ganapati Bhat , Jaehyun Park , Umit Ogras

Radio Frequency (RF) Energy Harvesting holds a promising future for generating a small amount of electrical power to drive partial circuits in wirelessly communicating electronics devices. Reducing power consumption has become a major…

网络与互联网体系结构 · 计算机科学 2012-09-05 A. M. Zungeru , Li-Minn Ang , S. R. S. Prabaharan , Kah Phooi Seng

Smart sensing is expected to become a pervasive technology in smart cities and environments of the near future. These services are improving their capabilities due to integrated devices shrinking in size while maintaining their…

Energy Harvesting (EH) has emerged as a promising technique for Green Communications and it is a novel technique to prolong the lifetime of the wireless networks with replenishable nodes. In this paper, we consider the energy shortage…

信息论 · 计算机科学 2021-04-07 Mahmood Mohassel Feghhi , Aliazam Abbasfar , Mahtab Mirmohseni