We first review and discuss some challenging issues about survivability and energy-saving in FiWi, and then we propose some instructive solutions for its green survivability design. In this paper, we focus on the green survivability in FiWi, which is an innovative concept and remains untouched in the previous works to our best knowledge. Thus, the energy-saving issue should be considered when it comes to survivability design. However, the redundant deployment of backup resource required for survivability usually causes huge energy consumption, which aggravates the global warming and accelerates the incoming of energy crisis. Thus, survivability in FiWi is a key issue aiming at reliable and robust service. Since FiWi is expected to carry a large amount of traffic, numerous traffic flows may be interrupted by the failure of network components. Liu, Yejun Guo, Lei Gong, Bo Ma, Rui Gong, Xiaoxue Zhang, Lincong Yang, Jiangziįiber-Wireless ( FiWi) broadband access network is a promising "last mile" access technology, because it integrates wireless and optical access technologies in terms of their respective merits, such as high capacity and stable transmission from optical access technology, and easy deployment and flexibility from wireless access technology. Green survivability in Fiber-Wireless ( FiWi) broadband access network
These results reveal a great opportunity for using ubiquitous WiFi routers for high-resolution outdoor positioning, but also significant privacy implications of such side-channel location tracking. Using just one GPS observation per day per person allows us to estimate the location of, and subsequently use, WiFi access points to account for 80% of mobility across a population. In fact, due to inherent stability and low entropy of human mobility, it is possible to assign location to WiFi access points based on a very small number of GPS samples and then use these access points as location beacons.
We study six months of human mobility data, including WiFi and GPS traces recorded with high temporal resolution, and find that time series of WiFi scans contain a strong latent location signal. Tracking Human Mobility Using WiFi Signals
Sapiezynski, Piotr Stopczynski, Arkadiusz Gatej, Radu Lehmann, Sune Tracking Human Mobility Using WiFi Signals.