A Weight-Optimized Source Rate Optimization approach in Energy Harvesting Wireless Sensor Networks

Runan Yao; Wei Wang; Kazem Sohraby; Shi Jin; Sunho Lim; Hongbo Zhu

doi:10.1109/GLOCOM.2012.6503374

A Weight-Optimized Source Rate Optimization approach in Energy Harvesting Wireless Sensor Networks

Runan Yao, Wei Wang, Kazem Sohraby, Shi Jin, Sunho Lim, Hongbo Zhu

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

Using harvestable energy in Wireless Sensor Networks (WSNs) has gained considerable popularity recently. However, how to utilize the unstable power supply to achieve quality performance is still a challenge. In this paper, we propose a Weight-Optimized Source Rate Optimization (WOSRO) approach which allows the WSN system to adaptively control source coding rates by choosing the most valuable data packets to transmit. In this approach, the packet selection strategy is optimized by considering multimedia distortion reduction, energy cost, energy neutrality constraint and power saving efficiency. Simulation results show that the proposed data packet selecting strategy significantly improves data transmission quality by exploring harvesting-storage energy neutrality and multimedia data packet importance.

Original language	English
Title of host publication	2012 IEEE Global Communications Conference, GLOBECOM 2012
Pages	1789-1793
Number of pages	5
DOIs	https://doi.org/10.1109/GLOCOM.2012.6503374
State	Published - 2012
Event	2012 IEEE Global Communications Conference, GLOBECOM 2012 - Anaheim, CA, United States Duration: Dec 3 2012 → Dec 7 2012

Publication series

Name	Proceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)	2334-0983
ISSN (Electronic)	2576-6813

Conference

Conference	2012 IEEE Global Communications Conference, GLOBECOM 2012
Country/Territory	United States
City	Anaheim, CA
Period	12/3/12 → 12/7/12

Access to Document

10.1109/GLOCOM.2012.6503374

Cite this

Yao, R., Wang, W., Sohraby, K., Jin, S., Lim, S., & Zhu, H. (2012). A Weight-Optimized Source Rate Optimization approach in Energy Harvesting Wireless Sensor Networks. In 2012 IEEE Global Communications Conference, GLOBECOM 2012 (pp. 1789-1793). Article 6503374 (Proceedings - IEEE Global Communications Conference, GLOBECOM). https://doi.org/10.1109/GLOCOM.2012.6503374

@inproceedings{37530bf4b4774450a659f1b385988de9,

title = "A Weight-Optimized Source Rate Optimization approach in Energy Harvesting Wireless Sensor Networks",

abstract = "Using harvestable energy in Wireless Sensor Networks (WSNs) has gained considerable popularity recently. However, how to utilize the unstable power supply to achieve quality performance is still a challenge. In this paper, we propose a Weight-Optimized Source Rate Optimization (WOSRO) approach which allows the WSN system to adaptively control source coding rates by choosing the most valuable data packets to transmit. In this approach, the packet selection strategy is optimized by considering multimedia distortion reduction, energy cost, energy neutrality constraint and power saving efficiency. Simulation results show that the proposed data packet selecting strategy significantly improves data transmission quality by exploring harvesting-storage energy neutrality and multimedia data packet importance.",

author = "Runan Yao and Wei Wang and Kazem Sohraby and Shi Jin and Sunho Lim and Hongbo Zhu",

year = "2012",

doi = "10.1109/GLOCOM.2012.6503374",

language = "English",

isbn = "9781467309219",

series = "Proceedings - IEEE Global Communications Conference, GLOBECOM",

pages = "1789--1793",

booktitle = "2012 IEEE Global Communications Conference, GLOBECOM 2012",

note = "2012 IEEE Global Communications Conference, GLOBECOM 2012 ; Conference date: 03-12-2012 Through 07-12-2012",

}

Yao, R, Wang, W, Sohraby, K, Jin, S, Lim, S & Zhu, H 2012, A Weight-Optimized Source Rate Optimization approach in Energy Harvesting Wireless Sensor Networks. in 2012 IEEE Global Communications Conference, GLOBECOM 2012., 6503374, Proceedings - IEEE Global Communications Conference, GLOBECOM, pp. 1789-1793, 2012 IEEE Global Communications Conference, GLOBECOM 2012, Anaheim, CA, United States, 12/3/12. https://doi.org/10.1109/GLOCOM.2012.6503374

A Weight-Optimized Source Rate Optimization approach in Energy Harvesting Wireless Sensor Networks. / Yao, Runan; Wang, Wei; Sohraby, Kazem et al.
2012 IEEE Global Communications Conference, GLOBECOM 2012. 2012. p. 1789-1793 6503374 (Proceedings - IEEE Global Communications Conference, GLOBECOM).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Weight-Optimized Source Rate Optimization approach in Energy Harvesting Wireless Sensor Networks

AU - Yao, Runan

AU - Wang, Wei

AU - Sohraby, Kazem

AU - Jin, Shi

AU - Lim, Sunho

AU - Zhu, Hongbo

PY - 2012

Y1 - 2012

N2 - Using harvestable energy in Wireless Sensor Networks (WSNs) has gained considerable popularity recently. However, how to utilize the unstable power supply to achieve quality performance is still a challenge. In this paper, we propose a Weight-Optimized Source Rate Optimization (WOSRO) approach which allows the WSN system to adaptively control source coding rates by choosing the most valuable data packets to transmit. In this approach, the packet selection strategy is optimized by considering multimedia distortion reduction, energy cost, energy neutrality constraint and power saving efficiency. Simulation results show that the proposed data packet selecting strategy significantly improves data transmission quality by exploring harvesting-storage energy neutrality and multimedia data packet importance.

AB - Using harvestable energy in Wireless Sensor Networks (WSNs) has gained considerable popularity recently. However, how to utilize the unstable power supply to achieve quality performance is still a challenge. In this paper, we propose a Weight-Optimized Source Rate Optimization (WOSRO) approach which allows the WSN system to adaptively control source coding rates by choosing the most valuable data packets to transmit. In this approach, the packet selection strategy is optimized by considering multimedia distortion reduction, energy cost, energy neutrality constraint and power saving efficiency. Simulation results show that the proposed data packet selecting strategy significantly improves data transmission quality by exploring harvesting-storage energy neutrality and multimedia data packet importance.

UR - http://www.scopus.com/inward/record.url?scp=84877647952&partnerID=8YFLogxK

U2 - 10.1109/GLOCOM.2012.6503374

DO - 10.1109/GLOCOM.2012.6503374

M3 - Conference contribution

AN - SCOPUS:84877647952

SN - 9781467309219

T3 - Proceedings - IEEE Global Communications Conference, GLOBECOM

SP - 1789

EP - 1793

BT - 2012 IEEE Global Communications Conference, GLOBECOM 2012

T2 - 2012 IEEE Global Communications Conference, GLOBECOM 2012

Y2 - 3 December 2012 through 7 December 2012

ER -

A Weight-Optimized Source Rate Optimization approach in Energy Harvesting Wireless Sensor Networks

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this