The hybrid ultra-high frequency (UHF) wireless-powerline sensor networks with a focus on enlarging the network lifetime via cross-layer optimization is presented. Hybrid video sensor networks (HVSNs) with high data rate requirement are explored. Through the joint design of video encoding rate, aggregate power consumption, channel access control, along with link rate allocation, a distributed algorithm is developed, which divides the computational burden among all nodes with much lower communication overhead. The effectiveness of the cross-layer designs are evaluated through extensive simulation results.
Xu Zhu is a reader of the department of electrical engineering and electronics at the University of Liverpool. She received her Ph.D. from the Hong Kong University of Science and Technology. She is a Senior Member of the IEEE.
Kainan Zhu received his Ph.D. in electrical and electronic engineering from the University of Liverpool and has authored many publications.
Mohammad Heggo is a research associate at the Computing Department, Imperial College of London, UK, where he shares in the development of new RF Machine Monitoring technology known as CogniSense. He was awarded a dual Ph.D. from the electrical engineering and electronics at the University of Liverpool.