Sensor Networks

Tempmesh (USWF, 2017 - 2021)

As part of a restoration project designed to enhance Chinook salmon populations in the lower Yuba River, we sought to characterize river temperatures at micro-habitats scales relevant to juveniles. Given that temperatures vary more across the channel than they do longitudinally, temperature had to be assayed both along the length of a study reach as well as across the channel. These temperatures needed to be measured at least hourly in order to capture the totality of the diel fluctuations. It was necessary to sample for the full duration of juvenile residence in the lower Yuba River -- a six-month period over the winter. Though it was desirable to design a system that could sample for at least a year to capture the totality of seasonal fluctuations. We designed, implemented and deployed a wireless sensor network that was installed to monitor temperature data on the Lower Yuba River. The mesh network was implemented using nodes that contained a MSP430 chipset with a radio operating at 433 MHz. We designed a network architecture which included a network storage function to address intermittent link failures. We implemented an event-based software architecture of the mesh network node specifically in relation to energy optimization. We did not achieve 100% success. A number of the sensors were destroyed during periods of heavy flow and by beavers and bears. Nevertheless, we were able to get significant amount of data. This data which is the first of its kind will significantly help to push the science of understanding how river temperature profile impact the survival and growth of juvenile anadromous fishes species.

Funded by a grant from US Wildlife and Fisheries (USWF)


*Current participants are bolded

  1. Scott Burman (PhD, Ecology)
  2. Jingya (Alice) Gao
  3. Ken Zelling
  4. Greg Pasternack
  5. Nann Fangue
  6. Dipak Ghosal
  7. Richard Hambrick
  8. Jennifer Yick
  9. Archana Bharatidasan
  10. Biswanath Mukherjee


  1. Jiahui Dai, Dmitry Degtyarev, Jingya Gao, Adrian Wang, Scott Burman, Ken Zillig, Dipak Ghosal, Design and Implementation of RAP - a Randomized Asynchronous Protocol for Data Aggregation in Wireless Sensor Networks, International Conference on Computing, Networking and Communications (ICNC 2020), Big Island, Hawaii, USA, February 17-20, 2020.
  2. Qiu, Xiaoling, Haiping Liu, Deshi Li, Jennifer Yick, Dipak Ghosal, and Biswanath Mukherjee. Efficient aggregation of multiple classes of information in wireless sensor networks. Sensors 9, no. 10 (2009): 8083-8108.
  3. Qiu, Xiaoling, Dipak Ghosal, Biswanath Mukherjee, Jennifer Yick, and Deshi Li. Priority-based coverage-aware congestion control for multihop wireless sensor networks. In 2008 The 28th International Conference on Distributed Computing Systems Workshops, pp. 285-290. IEEE, 2008.
  4. Yick, Jennifer, Biswanath Mukherjee, and Dipak Ghosal. Distributed target tracking and boundary estimation in wireless sensor networks. IJAACS 1, no. 3 (2008): 308-331.
  5. J. Yick, B. Mukherjee, and D Ghosal, Wireless sensor network survey, Computer Networks, Volume 52, Issue 12, 22 August 2008, Pages 2292-2330
  6. J. Yick, B. Mukherjee, and D. Ghosal, Distributed target tracking and boundary estimation in wireless sensor networks, International Journal of Autonomous and Adaptive Communications Systems, Volume 1, Number 3 / 2008, Pages: 308 - 331.
  7. Yick, Jennifer, Gregory Pasternack, Biswanath Mukherjee, and Dipak Ghosal. Placement of network services in a sensor network. IJWMC 1, no. 2 (2006): 101-112.
  8. Yick, Jennifer, Biswanath Mukherjee, and Dipak Ghosal. Analysis of a prediction-based mobility adaptive tracking algorithm. In 2nd International Conference on Broadband Networks, 2005., pp. 753-760. IEEE, 2005.
  9. Yick, Jennifer, Archana Bharathidasan, Gregory Pasternack, Biswanath Mukherjee, and Dipak Ghosal. Optimizing placement of beacons and data loggers in a sensor network-a case study. In 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No. 04TH8733), vol. 4, pp. 2486-2491. IEEE, 2004.
  10. V. Ponduru, B. Mukherjee, and D. Ghosal, A Distributed Coverage-Preserving Multipath Routing Protocol in Wireless Sensor Networks, Technical Report, Department of Computer Science, University of California, Davis, March 2004.