QuIC-IoT: Model-Driven Short-Term IoT Deployment for Monitoring Physical Phenomena

Author:

Chang Tung-Chun1ORCID,Banerjee Tirtha2ORCID,Venkatasubramanian Nalini1ORCID,York Robert3ORCID

Affiliation:

1. University of California, Irvine, United States of America

2. University of California, Irvine, USA

3. University of California, Berkeley, USA

Funder

NSF IIS Award

UCOP

Publisher

ACM

Reference41 articles.

1. [n. d.]. LANDFIRE: LANDFIRE Existing Vegetation Type layer . ( 2013 , June - last update). U.S. Department of Interior, Geological Survey, and U.S. Department of Agriculture [Online]. Available: http://landfire.cr.usgs.gov/viewer/ [2013, May 8]. [n. d.]. LANDFIRE: LANDFIRE Existing Vegetation Type layer. (2013, June - last update). U.S. Department of Interior, Geological Survey, and U.S. Department of Agriculture [Online]. Available: http://landfire.cr.usgs.gov/viewer/ [2013, May 8].

2. Jing Ai 2006. Coverage by directional sensors in randomly deployed wireless sensor networks. Journal of Combinatorial Optimization ( 2006 ). Jing Ai 2006. Coverage by directional sensors in randomly deployed wireless sensor networks. Journal of Combinatorial Optimization (2006).

3. Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires

4. . Gateway Placement Optimization in Wireless Mesh Networks With QoS Constraints;Aoun B.;IEEE JSAC,2006

5. Energy-Aware Gateway Placement in Green Wireless Mesh Networks

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