The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Energy Efficiency and Reliability Considerations of a Compressive Sensing Technique in Wireless Visual Sensor Networks
Abstract
This chapter focuses on the energy efficiency and reliability issues when applying the novel compressive sensing technique in wireless visual sensor networks. An explanation is given for why compressive sensing is useful for visual sensor networks. The relationships between sparsity control and compression ratio, the effect of block-based sampling on reconstruction quality, complexity consideration of reconstruction process for real-time applications, and compensation for packets missing in network flows are discussed. We analyse the effectiveness of using the 2-dimensional Haar wavelet transform for sparsity control, the difference between compressive sampling in spatial and frequency domains, and the computation of the prime-dual optimisation method and the log barrier algorithm for reconstruction. The effectiveness of the approach on recovered image quality is evaluated using Euclidean distance and variance analysis.
Related Content
|
Licheng Huang, Bochen Xue, Yiming Chen, Peihang Wu, Yuezhong Wang, Aquil Mirza Mohammed.
© 2026.
34 pages.
|
|
Hong Rui Zhou, Min Hao Ling, Tong Yao Li, Xiang Li, Yi Ran Wu, Cong Wu.
© 2026.
34 pages.
|
|
Chenyu Liu, Yaxin Luo, Jingyan Zeng, Liyuan Fan, Mingyuan Tang, Cong Wu.
© 2026.
28 pages.
|
|
Haochen Shi, Xuan Luo, Junhao Huang, Yixiong Feng, Zihan Meng, Aquil Mirza Mohammed.
© 2026.
34 pages.
|
|
Ruiman Huang, Shuxin Jia, Zeyu Min, Haoyue Zhang, Hewa Majeed Zangana.
© 2026.
32 pages.
|
|
Shu Kei Ling, Pak Sun Wong, Kwan Ho Yuen, Mohammad Al Khaldy.
© 2026.
40 pages.
|
|
Enlong Dong, Huakun Huang, Huakai Huang, Ruize Liu, Hengxian Li.
© 2026.
34 pages.
|
|
|