An energy management scheme for solar-powered Wireless Visual Sensor Networks toward uninterrupted operations

Energy harvesting is required for the uninterrupted operation of Wireless Visual Sensor Networks (WVSNs). Solar energy is considered one of the effective energy harvesting sources for WVSN applications. In this paper, we propose an efficient energy management scheme for solar-powered WVSNs. The proposed scheme aims to maximize the overall quality of captured video while maximizing the network operation time. Our energy management is based on the prediction of energy supply and demand. The simulation results show that the proposed method achieves higher sampling quality of video data and longer WVSN operation time by 26.66% on average (up to 33.14%) compared to the greedy energy distribution approaches.

[1]  Purushottam Kulkarni,et al.  Energy Harvesting Sensor Nodes: Survey and Implications , 2011, IEEE Communications Surveys & Tutorials.

[2]  David Atienza,et al.  Prediction and management in energy harvested wireless sensor nodes , 2009, 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology.

[3]  Mani B. Srivastava,et al.  Design considerations for solar energy harvesting wireless embedded systems , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[4]  Chia-Ming Chang,et al.  A CEA concentration measurement system using FPW biosensors and frequency-shift readout IC , 2013, 2013 International SoC Design Conference (ISOCC).

[5]  Chong-Min Kyung,et al.  Event statistics and criticality-aware bitrate allocation to minimize energy consumption of memory-constrained wireless surveillance system , 2010, 2010 IEEE International Conference on Multimedia and Expo.

[6]  Chong-Min Kyung,et al.  An energy-aware hierarchical event detection in battery-operated wireless video surveillance systems , 2011, 2011 IEEE International Conference on Multimedia and Expo.

[7]  Chong-Min Kyung,et al.  Lifetime maximization of mobile wireless camera system , 2010, 2010 International SoC Design Conference.

[8]  Geun-Young Doe,et al.  Predict Solar Radiation According to Weather Report , 2011 .

[9]  Dong Kun Noh,et al.  Minimum Variance Energy Allocation for a Solar-Powered Sensor System , 2009, DCOSS.

[10]  M. Grätzel,et al.  A low-cost, high-efficiency solar cell based on dye-sensitized colloidal TiO2 films , 1991, Nature.

[11]  Chong-Min Kyung,et al.  Lifetime maximization of video blackbox surveillance camera , 2011, 2011 IEEE International Conference on Multimedia and Expo.