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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 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 languageEnglish
Title of host publication2012 IEEE Global Communications Conference, GLOBECOM 2012
Pages1789-1793
Number of pages5
DOIs
StatePublished - 2012
Event2012 IEEE Global Communications Conference, GLOBECOM 2012 - Anaheim, CA, United States
Duration: Dec 3 2012Dec 7 2012

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Conference

Conference2012 IEEE Global Communications Conference, GLOBECOM 2012
Country/TerritoryUnited States
CityAnaheim, CA
Period12/3/1212/7/12

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