An energy efficient wireless sensor network based on human neurons communication

Most applications dealing with wireless sensor networks need a strategy to reduce energy usage. Each node in a wireless sensor network has a certain amount of battery, in which in some applications is crucial for a system to have stable nodes with the ability of working properly. One of the recent algorithm to have an energy efficient topology is to use human´s cells regeneration procedure as an inspiration of a wireless sensor network models. Here we proposed a new energy efficient topology based on how human´s brain cells (neurons) will participate in doing a task while a group of these cells might be deactivated. There are around 10 billion neurons that can be considered as nodes of a very large wireless sensor network. How these neurons or nodes work together to perform a task while we know brain uses a small amount of energy, is an interesting inspiration used in our proposed energy efficient wireless sensor network.