For example, traditional ways of handing off connections between cellular towers in many cellular wireless networks are too slow and impose too much overhead on the network to coordinate the handoffs in these types of use cases. Many systems rely on a relatively centralized authority (like a base station controller or a mobile switching center (which is not to suggest that use of such facilities for handoffs is disclaimed)) to determine which mobile wireless radio communicates with which cellular tower and coordinate handoffs between the cellular towers, for example, as a wireless radio moves geographically out of range of one tower and into range of another, or where a device is in range of multiple cellular towers. The problem is aggravated when handoffs are between different wireless network providers. The time taken in communicating with the central authorities by the base stations can consume too much of the latency budget for many real-time data processing use cases, impeding real-time computing at the edge of networks. This issue is particularly acute where there are large bandwidth requirements, as occurs in many artificial intelligence algorithms operating upon relatively high dimensional data, such as video feeds, light detection and ranging (LIDAR) feeds, ultrasonic depth sensors, and suites of signals from other sensors carried by mobile computing platforms.