Dynamic spectrum allocation for smart meter networks and WSNs in the presence of household consumer networks

The spectrum used by wireless sensor networks and smart metering networks is becoming increasingly crowded due to the increasing deployment of IEEE 802.11b/g and Bluetooth devices as well as other co-located wireless sensor networks. Using an energy detection application, this paper presents the statistics of the interfering power levels from typical IEEE 802.11b/g devices, Bluetooth devices and wireless sensor networks. This paper also discusses a possible channel characterization and selection criteria based on the interfering power level statistics. It is found that while the energy detection application is not optimal, it is good enough to detect occupancy levels of a channel and can provide a base from which dynamic spectrum access WSNs can designed and implemented. The application can also be used by smart metering networks to avoid interference.