Compressive network coding for error control in wireless sensor networks

摘要: Since the observed signals of nearby sensors are known to be correlated, this paper firstly investigates connection between network coding and compression concept compressed sensing then makes an in-depth combination these two powerful concepts for error control in wireless sensor networks. Thus, a joint scheme is developed achieve maximum gain by exploiting temporal spatial correlations simultaneously. This overcomes drawbacks theory injecting corresponding distributed into coding, i.e., possesses good graceful degradation precision reconstruction process. Meanwhile, it can tolerate finite erasures errors as well reconstruct original information precise possible when rank matrix (induced errors) doesn't exceed upper boundary. Finally, reliability analysis numeric results show that compressive (i.e., scheme) outperforms conventional robustness performance.