ABSTRACT
The rapid growth of many M2M applications depends on high reliability in wireless communication networks. However, due to the broadcast nature, wireless communications are error prone and may suffer from high and time-varying bit error rates (BERs), which inhibits communication reliability by causing loss or delay in data collection or distribution. Moreover, unreliable communications may result in malfunction or breakage of the M2M applications, for example, disaster monitoring, health care, or demand response (DR) control in smart grid. Thereby, it is critical to understand and to quantify the communication reliability of wireless M2M networks.
