Design and Implementation of RAP - a Randomized Asynchronous Protocol for Data Aggregation in Wireless Sensor Networks
We consider a distributed deployment of sensors and a network of wireless relay nodes designed to operate in an environment in which there exists neither a stable energy source nor a global clock to which the network (sensor, relay, and gateway) nodes can synchronize. For such an environment, we design and implement a randomized asynchronous protocol (RAP) for aggregating data at the gateway. The protocol is based on the randomized sleeping of nodes in an asynchronous manner, taking advantage of the birthday paradox to ensure eventual communication. We present an approximate mathematical analysis and develop a simulation model to study the performance of the protocol under different sleep parameters: specifically, the duration of the random sleep times of the transmitter and the receiver. We show that a low average data transfer time can be achieved with low energy usage. We implemented the protocol on an Adafruit Feather 32u4 board, including a number of optimization to further improve the performance and minimize energy usage. Finally, we deployed a wireless sensor network for distributed temperature monitoring of aquaculture research at the Center of Aquatic Biology and Aquaculture (CABA) of University of California, Davis.
Team: Jiahui Dai, Dmitry Degtyarev, Jingya Gao, Adrian Wang
Mentors/Advisors: Scott Burman, Ken Zillig, Dipak Ghosal
Academic Year: 2018-19
This work is published in IEEE International Conference on Computing, Networking and Communications (ICNC 2020) with the above title.
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