An advanced study has been carried out in fruit flies by Ziv Bar-Joseph at Carnegie Mellon University for significantly utilizing wire-free sensor grids and for executing various disseminated computing purposes.
The scientist could identify that the cells in the developing nervous system of the fly re-arrange themselves in such a manner that some of cells function as leaders linking each of the other nerve cell.The study also describes several identical methodologies for controlling the computer networks. The techniques of the fruit fly's nervous system are simple and strong.
By employing this methodology, Bar-Joseph, along with Noga Alon and other eminent researchers have developed a novel distributed computing algorithm, suitable for wireless sensing networks, for environmental monitoring, in which the sensing devices are distributed in a lake, waterway, or systems for regulating flocks of robots.
According to Bar-Joseph, the mathematical and computational simulations have been deployed by the researchers for evaluating biological systems.He explained that, on the other hand, they have inverted the strategy, i.e. they have deployed a biological system for solving an enduring computer science problem.In order to develop this distributive system, a minor set of processors can be utilized for quickly interconnecting the remaining processors in the network called a maximal independent set (MIS).
Each of the processor in such a grid can either be a leader (a member of the MIS) or can be linked to a leader, whereas the leaders are not interlinked.The researchers have developed a computer algorithm with respect to the fly's methodology and hence demonstrated that it serves as a rapid solution to the MIS issue.
Bar-Joseph commented that the functional period is a bit longer than the prevailing methodologies, and in contrast, the biological method is effective and powerful since it involves very few assumptions and hence can be used in various purposes.