My thesis’s subjects are the so called self-pruning algorithms, among them specifically the SBA, and their energy supply. These methods are well suited for certain circumstances, however, the ad hoc networks, due to their fundamental working principle, namely, that without a centrally established wireless communication infrastructure capable of transmitting messages, can be used in cases where there aren’t any wireless communication available, either because of the geographical position of the area or due to the damage of the system.
(Some simple examples: information dissemination in disaster / war-torn areas; sensors mounted on animals to collect information; for the usage in urban networks.)
However, the algorithm outlined above, in applications like the ones mentioned before, doesn’t take into account one of the most important physical parameters of the device: the energy level.
These devices are mainly used in environments where there is no established mobile communication infrastructure (or it has disabled) and the nodes are placed in mobile vehicles/structures, so the power supply is limited.
The aim is to develop an algorithm capable of taking into account not just the node’s proper energy level but the neighbors’ as well.