Adaptive Self Configuration for Distributed Load in Sensor Networks

The dynamic architecture of the network is monitored by exchanging so-called network state beacons (NSBs) between key network nodes. The beacon exchange rate and the network state define both the time and nature of a proactive action to combat network performance degradation at a time of crisis. It is thus essential to select and update the beacon exchange rate (F_X) according to the variations in the load profile of the network. This paper presents a novel localized method that for selecting and updating the F_X by adapting to the network load and energy constraints. The results indicating that the model reconfigures the network more effectively to achieve higher throughput as well as greater network integrity, with minimal resource overheads.