Optimizing Computations in Intermittently Powered Wireless Sensor Nodes

Communicating man and machine is always beneficial when their linkage is for information exchange. Information Communication Technologies (ICT) thus seek for such technologies and communication schemes where it can eliminate the use of frequent, time to time re-programming as well as charging/ topping up the battery resource. For the same purpose, researchers are always into the development of such Wireless networking based schemes where the battery constrains are minimized. Internet of things (IoT) is one of these emerging technologies. This research focuses on the implementation of IoT based techniques to minimize the battery re-charge time by studying the behavior of motes (Nodes in IoT) with respect to its information exchange, network throughput and power management. The research uses capacitor driven motes that can accept data wirelessly and transmit it directly after its reception or can restart the mote while the data is being preserved in its Read only flash. There different scenarios have been sequentially analyzed for incremental number of nodes from 2 to 15, whereas the capacitance is calculated for nominal data transfer. The results conclude that once the deployment of the network goes from scares to densely populated network, the charge due to the modeâ™s capacitance exponentially optimizes. The research concludes that lower number of nodes must be greater in order to use higher capacitance values whereas lower network density must follow the strategy of broadcasting its data without writing it on Read only flash memory.

Hussain Ahmad, Jawad Ali, Syed Waqar Shah, Durre Nayab, "Optimizing Computations in Intermittently Powered Wireless Sensor Nodes" International Journal of Engineering Works, Vol. 5, Issue 3, PP. 50-55, March 2018.                                                                    

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