Monitoring of Dynamic Amorphous Phenomena
Algorithms and System Support for Monitoring of Amorphous Phenomena with Dynamic Signatures in Wireless Sensor Networks
Emerging applications using wireless sensor networks for critical areas such as environmental monitoring and emergency response highlight the urgent need for more powerful algorithms for tracking amorphous events or phenomena with dynamic identities. Several such events may combine into a large whole or one event may disintegrate into several smaller ones. Current efforts in event detection and tracking have mostly assumed that either events remain distinct, never crossing or passing too close together to become indistinguishable, or if they do cross that they were identified prior and nothing new has formed. This project addresses the research challenges in designing and implementing a system that is capable of tracking events with or without well-defined shapes and identities in the presence of stringent energy constraints and unpredictable network failures posed by wireless sensor networks. Specific research objectives include: design and evaluation of algorithms that detect and track any types of events including amorphous phenomena with dynamic signatures and events that possess a static shape with a crisp boundary; design and evaluation of algorithms that form and reform communication structures around events of interest; and development of an integrated system that provides interfaces to high level application tasks to execute on each identified event. Successful completion of this project will result in a rich set of tools that can be used by applications monitoring all different types of events.
- Qi Han (Faculty)
- Nicholas Hubbell (Master's Student)
- Gholam Abbas Angouti Kolucheh (Ph.D. Student)
- Inigo Urteaga
- Na Yu and Qi Han, Grace: Recognition of Proximity-Based Intentional Groups using Collaborative Mobile Devices, IEEE International Conference on Mobile and Ad-hoc Sensor Systems (MASS), Philadelphia, Pennsylvania, October 2014.
- Na Yu and Qi Han, Context-aware Community: Integrating Contexts with Contacts for Proximity-based Mobile Social Networking, IEEE International COnference on Distributed Computing in Sensor Systems (DCOSS), Cambridge, Massachusetts, May 21-23, 2013.
- Inigo Urteaga, Na Yu, Nicholas Hubbell, and Qi Han, AWARE:Activity Aware Maintenance of Communication Structures for Wireless Sensor Networks, Pervasive and Mobile Computing, Volume 13, August 2014, Pages 111-124.
- Na Yu and Qi Han, Context-Aware Communities and Their Impact on Information Influence in Mobile Social Networks, Third International Workshop on Pervasive Collaboration and Social Networking (PerCol), in conjunction with PerCom, Lugano, Switzerland, March 2012.
- Na Yu and Qi Han, Detection and Tracking of Mobile Events with Dynamic Signatures Using Mobile Sensors, IEEE Consumer Communications and Networking Conference, (CCNC), Las Vegas, January 2012.
- Nicholas Hubbell and Qi Han, DRAGON: Detection and Tracking of Dynamic Amorphous Events in Wireless Sensor Networks, IEEE Transactions on Parallel and Distributed Systems, Vol. 23, No.7, July 2012
- Inigo Urteaga, Na Yu, Nicholas Hubbell and Qi Han, AWARE: An Activity Aware Network Clustering Algorithm for Wireless Sensor Networks, The 36th IEEE Conference on Local Computer Networks (LCN), Bonn, Germany, October 2011.
- Na Yu and Qi Han, MEMS: Detection and Tracking of Mobile Events Using Mobile Sensors, poster paper, The 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2011.
- Nicholas Hubbell and Qi Han, Detection and Tracking of Dynamic Amorphous Events in Wireless Sensor Networks, The 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2011.
- Gholam Abbas Angouti Kolucheh and Qi Han, SUSTAIN: An Adaptive Fault Tolerance Service for Geographically Overlapping Wireless Cyber-Physical Systems, The 9th Workshop on Adaptive and Reflective Middleware (ARM), in conjunction with ACM Middleware, Bangalore, India, November 2010.
This project is supported in part by NSF grant CNS-0915574.