Scheduling-Based Energy-Efficient Water Quality Monitoring System for Aquaculture

Author:

Rasheed Abdul Haq ,Harigovindan V. P.

Publisher

Springer Singapore

Reference17 articles.

1. World population projected to reach 9.8 billion in 2050, and 11.2 billion in 2100. www.un.org/development/desa/en/news/population/world-population-prospects-2017.html, 2017/06

2. Adu-Manu KS, Tapparello C, Heinzelman W, Katsriku FA, Abdulai JD (2017) Water quality monitoring using wireless sensor networks: current trends and future research directions. ACM Trans Sens Netw (TOSN) 13(1):1–41

3. Dong J, Wang G, Yan H, Xu J, Zhang X (2015) A survey of smart water quality monitoring system. Environ Sci Pollut Res 22(7):4893–4907

4. dos Santos Simoes F, Moreira AB, Bisinoti MC, Gimenez SMN, Yabe MJS (2008) Water quality index as a simple indicator of aquaculture effects on aquatic bodies. Ecol Ind 8(5):476–484

5. Abughalieh N, Steenhaut K, Nowé A, Anpalagan A (2014) Turbo codes for multihop wireless sensor networks with decode-and-forward mechanism. EURASIP J Wirel Commun Networking 2014(1):204

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