A green smart topology management system based on network situation awareness
Ke Bi, Yifei Wei, Mei Na Song, Da Zhi Guo · 2015
According to some research statistics, most topology management strategy are generated in a traditional way, which means network topology changes based on what information it collect from the whole network. It is not a stretch to imagine that the time-variance of network situation certainly will affect the validity of the collected information, as same as the performance of topology management strategy. Taking into account nodes load level, nodes safety and nodes energy consumption, this paper will devise a green system based on network situation awareness, in which BP (Back Propagation) neural network and a kind of topology control algorithm will be applied. We combined forecast method and topology control algorithm to make the strategy more pre- generated, which will save more energy and make the network topology more stable and efficient. And the result of simulation is a good representation of that.