TY - CHAP U1 - Konferenzveröffentlichung A1 - Sikora, Axel A1 - Ahmad, Zahoor A1 - Pasha, Muhammad Adeel A1 - Ahmad, Awais A1 - Abubakr, Muhammad A1 - Masud, Shahid A1 - Schappacher, Manuel T1 - Performance Evaluation of IEEE 802.15.4-Compliant Smart Water Meters for Automating Large-Scale Waterways T2 - Proceedings of the 2017 IEEE 9th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) N2 - Climate change and resultant scarcity of water are becoming major challenges for countries around the world. With the advent of Wireless Sensor Networks (WSN) in the last decade and a relatively new concept of Internet of Things (IoT), embedded systems developers are now working on designing control and automation systems that are lower in cost and more sustainable than the existing telemetry systems for monitoring. The Indus river basin in Pakistan has one of the world's largest irrigation systems and it is extremely challenging to design a low-cost embedded system for monitoring and control of waterways that can last for decades. In this paper, we present a hardware design and performance evaluation of a smart water metering solution that is IEEE 802.15.4-compliant. The results show that our hardware design is as powerful as the reference design, but allows for additional flexibility both in hardware and in firmware. The indigenously designed solution has a power added efficiency (PAE) of 24.7% that is expected to last for 351 and 814 days for nodes with and without a power amplifier (PA). Similarly, the results show that a broadband communication (434 MHz) over more than 3km can be supported, which is an important stepping stone for designing a complete coverage solution of large-scale waterways. Y1 - 2017 SN - 978-1-5386-0697-1 (digital) SB - 978-1-5386-0697-1 (digital) SN - 978-1-5386-0694-0 (CD-ROM) SB - 978-1-5386-0694-0 (CD-ROM) SN - 978-1-5386-0698-8 (Print on Demand) SB - 978-1-5386-0698-8 (Print on Demand) U6 - https://doi.org/10.1109/IDAACS.2017.8095189 DO - https://doi.org/10.1109/IDAACS.2017.8095189 VL - 2 SP - 746 EP - 751 PB - IEEE ER -