Ye Li

ORCID: 0000-0003-3262-8057
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About
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Research Areas
  • Energy Efficient Wireless Sensor Networks
  • Energy Harvesting in Wireless Networks
  • Wireless Body Area Networks
  • Mobile Ad Hoc Networks
  • Molecular Communication and Nanonetworks
  • Security in Wireless Sensor Networks
  • Indoor and Outdoor Localization Technologies
  • Wireless Power Transfer Systems
  • Distributed Sensor Networks and Detection Algorithms
  • Wireless Networks and Protocols
  • Video Surveillance and Tracking Methods
  • Context-Aware Activity Recognition Systems
  • Wireless Sensor Networks and IoT
  • Advanced Data Compression Techniques
  • IoT-based Smart Home Systems

Shandong Academy of Sciences
2018-2019

Qilu University of Technology
2018-2019

Chinese Academy of Sciences
2010-2015

Shenzhen Institutes of Advanced Technology
2009-2015

Chung-Ang University
2014

Shenzhen Institute of Information Technology
2013

Georgia Institute of Technology
2010

The core problem with nodes of wireless sensor networks is the limited charge capacity for power-operated battery. main concern this paper how to extend battery's lifetime. According characteristics and functionality nodes, applications are categorized into three distinct types, i.e., hard real-time applications, soft periodic applications. For a battery-friendly lazy packet scheme designed draw smoother lower current minimizing battery consumption. A local optimization slack time exploited...

10.1109/jsen.2013.2276617 article EN IEEE Sensors Journal 2013-08-02

To reduce the data redundancy and energy consumption caused by explosive growth of in wireless sensor networks, this paper presents a node image based mean filtering algorithm. In provided approach, nodes are divided into active de-active to eliminate sleep redundancy. The network clustered, obtained from modeled. Simulation results show that proposed algorithm is more effective than k-medoids, which can redundant data. Moreover, it reduces consumption, improves life cycle networks. DOI:...

10.5755/j01.itc.47.3.20565 article EN Information Technology And Control 2018-09-26

The advance in CMOS camera and wireless sensor network (WSN) has promoted the development of multimedia (WMSN), which can collect more abundant video data image data. One important enabling technology for WMSN is aggregation, essential to be reusable cost-efficient. aggregation technologies divided into three parts, namely, acquisition, transmission processing. This paper presents state art according this category.

10.1109/icves.2010.5550937 article EN 2010-07-01

An effective transmission power control (TPC) method is proposed and demonstrated, in which an appropriate active margin directly applied rather than a step-by-step as the conventional TPC method. Active-margin (AM-TPC) based on algorithm that selects optimized by considering channel conditions mobile environments. For obtaining optimal power, minimum detectable signal (EMDS) has been introduced considers change both noise path loss (PL) dispersion caused multipath fading. The determined...

10.1155/2014/954109 article EN cc-by International Journal of Distributed Sensor Networks 2014-05-01

Energy consumption minimization is a key concern for wireless sensor nodes, especially body area network (WBAN) in which sensors operate close vicinity to, on or even inside human body. In this paper, system level energy model with transmission distance and rate on-body communication link addressed. Based analysis of the trade-off between circuit distance, threshold responsible proportion derived. Then different optimal schemes needed various are presented; finally, an illustrative example...

10.1109/wcsp.2013.6677082 article EN International Conference on Wireless Communications and Signal Processing 2013-10-01

With the explosive development of wireless communication technology, more and implanted medical devices appear in everyday life. Because limited energy resource devices, energy-quality system design is biggest challenge. In this paper, we update our former level model make it suitable for implantable system. new model, impacts human body tissue on signal transmission are considered. The consumption minimized by adjusting digital base-band RF parameters such as bandwidth, peak-to-average...

10.1109/iembs.2009.5332455 article EN Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2009-09-01

In this paper, a random on-off accumulative transmission (R-OOAT) scheme is proposed to achieve collision-tolerant (CT) media access control (MAC) for asynchronous wireless sensor networks. Unlike conventional MAC schemes that discard packages with collisions at receivers, the CT-MAC extracts salient information from colliding signals by using R-OOAT in physical layer. Nodes employing deliver base station through of multiple identical sub-symbols positions. The improves deterministic OOAT...

10.1109/glocom.2010.5684151 article EN 2010-12-01
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