@inproceedings{boddula_cyanosense_2017,
	title = {{CyanoSense}: {A} {Wireless} {Remote} {Sensor} {System} {Using} {Raspberry}-{Pi} and {Arduino} with {Application} to {Algal} {Bloom}},
	shorttitle = {{CyanoSense}},
	doi = {10.1109/AIMS.2017.19},
	abstract = {Wireless sensor systems have been used in several innovative applications during past few years. However, the key constraints like system design, energy, cost are significantly application dependent. In this paper, we design a wireless sensor system towards an important environmental issue of water quality - Cyanobacterial Harmful Algal Blooms (CyanoHABs). We present a low-cost, low-energy and low-footprint wireless sensor system which can be deployed remotely to monitor the CyanoHABs. We believe that ours is very first low-cost and solar energy based system developed in the domain of monitoring CyanoHABs that helps domain scientists in regular monitoring of freshwater body.},
	booktitle = {2017 {IEEE} {International} {Conference} on {AI} {Mobile} {Services} ({AIMS})},
	author = {Boddula, Vinay and Ramaswamy, Lakshmish and Mishra, Deepak},
	month = jun,
	year = {2017},
	note = {ISSN: null},
	keywords = {Arduino, Batteries, CyanoHABs, CyanoSense, Electric breakdown, Mobile communication, Monitoring, Raspberry-Pi, Remote sensing, Wireless communication, Wireless sensor networks, cyanobacterial harmful algal blooms, environmental issue, environmental surveillance, freshwater body, low-footprint wireless sensor system, radiotelemetry, raspberry-pi, solar energy based system, solar power, spectrometers, water quality, wireless remote sensor system, wireless sensor, wireless sensor networks},
	pages = {85--88},
}

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However, the key constraints like system design, energy, cost are significantly application dependent. In this paper, we design a wireless sensor system towards an important environmental issue of water quality - Cyanobacterial Harmful Algal Blooms (CyanoHABs). We present a low-cost, low-energy and low-footprint wireless sensor system which can be deployed remotely to monitor the CyanoHABs. 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