Energy-Aware Video Coding Selection for Solar-Powered Wireless Video Sensor Networks (태양 에너지 기반 무선 비디오 센서 네트워크에서 에너지에 따른 비디오 코딩 선택 기법)

Yi Jun Min (이준민); Dong Kun Noh (노동건); Ikjune Yoon (윤익준)

doi:10.9708/jksci.2017.22.07.101

Energy-Aware Video Coding Selection for Solar-Powered Wireless Video Sensor Networks

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2017, 22(7), pp.101-108
DOI : 10.9708/jksci.2017.22.07.101
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : June 5, 2017
Accepted : July 4, 2017
Published : July 31, 2017

Yi Jun Min ¹, Dong Kun Noh ¹, Ikjune Yoon ¹

¹숭실대학교

Accredited

ABSTRACT

A wireless image sensor node collecting image data for environmental monitoring or surveillance requires a large amount of energy to transmit the huge amount of video data. Even though solar energy can be used to overcome the energy constraint, since the collected energy is also limited, an efficient energy management scheme for transmitting a large amount of video data is needed. In this paper, we propose a method to reduce the number of blackout nodes and increase the amount of gathered data by selecting an appropriate video coding method according to the energy condition of the node in a solar-powered wireless video sensor network. This scheme allocates the amount of energy that can be used over time in order to seamlessly collect data regardless of night or day, and selects a high compression coding method when the allocated energy is large and a low compression coding when the quota is low. Thereby, it reduces the blackout of the relay node and increases the amount of data obtained at the sink node by allowing the data to be transmitted continuously. Also, if the energy is lower than operating normaly, the frame rate is adjusted to prevent the energy exhaustion of nodes. Simulation results show that the proposed scheme suppresses the energy exhaustion of the relay node and collects more data than other schemes.

KEYWORDS

Allocation, Workload, Migration, Load balancing, Simulation

Citation status

* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Energy-Aware Video Coding Selection for Solar-Powered Wireless Video Sensor Networks

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* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Energy-Aware Video Coding Selection for Solar-Powered Wireless Video Sensor Networks

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KEYWORDS

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* References for papers published after 2023 are currently being built.