TY - GEN
T1 - A self-powered adaptive wireless sensor network for wastewater treatment plants
AU - Chen, Yu
AU - Twigg, Christopher M.
AU - Sadik, Omowunmi A.
AU - Tong, Shiqiong
PY - 2011
Y1 - 2011
N2 - Efficient monitoring and control of wastewater treatment plants (WWTPs) has become an important public issue as the cost of electricity continues to grow and the quality requirements of processed water tightens. However, the development, deployment, and maintenance of highly efficient monitors and controllers for wastewater processing tanks are significantly challenging. Self-powered, wireless sensor networks (WSNs) are an ideal candidate for this application, since their deployment would have the least impact on the existing infrastructure. A novel wireless sensor network is presented in this paper that integrates microbial fuel cells (MFCs), field-programmable analog arrays (FPAAs), and low-power networking protocols into the sensors to make them self-powered, highly flexible, and adaptive. MFCs convert chemicals in the waste water into electrical energy, while FPAAs provide a means of performing ultra-low-power, real-time, and adaptive processing of the sensor signals. This design achieves sustainable monitoring and control of wastewater treatment with minimal impact to existing infrastructure.
AB - Efficient monitoring and control of wastewater treatment plants (WWTPs) has become an important public issue as the cost of electricity continues to grow and the quality requirements of processed water tightens. However, the development, deployment, and maintenance of highly efficient monitors and controllers for wastewater processing tanks are significantly challenging. Self-powered, wireless sensor networks (WSNs) are an ideal candidate for this application, since their deployment would have the least impact on the existing infrastructure. A novel wireless sensor network is presented in this paper that integrates microbial fuel cells (MFCs), field-programmable analog arrays (FPAAs), and low-power networking protocols into the sensors to make them self-powered, highly flexible, and adaptive. MFCs convert chemicals in the waste water into electrical energy, while FPAAs provide a means of performing ultra-low-power, real-time, and adaptive processing of the sensor signals. This design achieves sustainable monitoring and control of wastewater treatment with minimal impact to existing infrastructure.
KW - Field-Programmable Analog Array
KW - Microbial Fuel Cells
KW - Self-Power
KW - Wireless Sensor Networks
UR - http://www.scopus.com/inward/record.url?scp=79958040145&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79958040145&partnerID=8YFLogxK
U2 - 10.1109/PERCOMW.2011.5766905
DO - 10.1109/PERCOMW.2011.5766905
M3 - Conference contribution
AN - SCOPUS:79958040145
SN - 9781612849379
T3 - 2011 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2011
SP - 356
EP - 359
BT - 2011 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2011
T2 - 2011 9th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2011
Y2 - 21 March 2011 through 25 March 2011
ER -