Self-adaptable All Terrain Sensor Networks
[News and Video Demo ]
[Research and Publications]
Wireless sensor networks are becoming an important
infrastructure for many critical distributed applications in science,
manufacturing, public safety and national defense. In practice, sensors need to
be deployed in the areas of difficult terrain and natural obstacles, where
radio signals can be partially or fully blocked. One approach is to utilize
mobile sensors in these situations, such as sensors with wheels. However,
mobile wheeled sensors may not be able to move to the desired locations in the
areas of difficult terrain with obstacles. A hopping sensor is a type of mobile
sensor with a bionic mobility design that is inspired by creatures, such as
grasshoppers. Hopping enabled mobility has a high potential to facilitate
network deployment and maintain coverage and connectivity in rugged terrain. We
developed hopping sensors and efficient algorithms for sensor deployment in
difficult areas and rugged terrain.
research produced jumping sensors that have several important features, which
are demonstrated in videos available at the IEEE Spectrum
Technology web site:
World's Cleverest Jumping Robot Gets Faster, More
Agile, November 28, 2011.
Brilliant Little Jumping Robot
Only Needs One Motor, June 06, 2011.
video demo of the design and performance of the jumping sensor can be accessed
at IEEE website:
motor actuated miniature steerable jumping robot, IROS, 2012
research includes the development of the hopping sensors, enhancing wireless
sensor network connectivity via hopping, and improving localization accuracy
and communication in rugged terrain.
Development of Hopping Sensors
- Zhao, J.; J.
Xu; B. Gao; N. Xi; F.
Cintron; M. Mutka; L.
Xiao, "MSU Jumper: A Single Motor Actuated Miniature Steerable Jumping Robot", IEEE Transactions on
Robotics, p. 602, vol. 29, 2013.
- Zhao J., N.
Xi, F. Cintron, M. W. Mutka
and L. Xiao, "A Single Motor Actuated Miniature Steerable
Jumping Robot", 2012 IEEE/RSJ International Conference on
Intelligent Robots and Systems, 2012.
- Zhao, J.; N.
Xi; B. Gao; M. Mutka;
L. Xiao, "Development of a Controllable and Continuous Jumping
Robot", Proceedings of 2011 IEEE International Conference on
Robotics and Automation (ICRA 2011), 2011.
- Zhao, J.,
Xi, N.; Gao, B.; Mutka, M.; Xiao, L., "Design and Testing of a
Controllable Miniature Jumping Robot", IEEE/RSJ International
Conference on Intelligent Robots and Systems, 2010.
- Zhao, J.;
Yang, R.; Xi, N.; Gao, B.; Fan, X.; Mutka, M.; Xiao, L., "Development of a Miniature
Self-Stabilization Jumping Robot", Proceedings of 2009 IEEE/RSJ
International Conference on Intelligent Robots and Systems (IROS 2009),
Enhancing Wireless Sensor Network
Connectivity via Hopping
- Cintron F., K. Pongaliur, M. Mutka, L. Xiao, J. Zhao and N. Xi, "Leveraging
Height in a Jumping Sensor Network to Extend Network Coverage", IEEE
Transactions on Wireless Communications, p. 1840, vol. 11, 2012.
- Kim M. and
M. W. Mutka,,
"Recycled ID Assignment for Relocation of Hopping Sensors",
Proceedings of the IEEE Wireless, Mobile and
Multimedia Networks (WoWMoM 2011), 2011.
- Cintron, F.; Mutka, M.,
"Hopping Enhanced Sensors for Efficient Sensor Network Connectivity
and Coverage", International Conference on Mobile Ad-hoc and
Sensor Systems, 2010.
- Cen, Z.; Mutka, M. W.,
"Relocation of Hopping Sensors", Proceedings of the IEEE
International Conference on Robotics and Automation (ICRA 2008), 2008.
- Cintron, F.; Pongaliur, K.; Mutka, M. W.; Xiao, L., "Energy Balancing
Hopping Sensor Network to Maximize Coverage", Proceedings of the
IEEE Conference on Computer Communications and Networks (ICCCN 2009),
- Kim M. and
M. W. Mutka, "Multipath-based
Relocation Schemes Considering Balanced Assignment of Hopping
Sensors", IEEE/RSJ International Conference on Intelligent Robots
and Systems, 2009.
Improving Localization Accuracy and
Communication in Rugged Terrain
- Huang P.; C.
Wang; Li Xiao, "Improving End-to-End Routing Performance of Greedy
Forwarding in Sensor Networks", IEEE Transactions on Parallel and
Distributed Systems, p.556, vol.23 , 2012.
- Pongaliur K. and L. Xiao, “Maintaining Source
Privacy under Eavesdropping and Node Compromise Attacks,” The 30th
IEEE International Conference on Computer Communications (IEEE INFOCOM
- Ding, Y.;
Wang, C.; Xiao, L., "Using Mobile Beacons to
Locate Sensors in Obstructed Environments", Journal of Parallel and
Distributed Computing, p. 644, vol. 70, 2010.
- Huang, P.;
Wang, C.; Xiao, L.; Chen, H., "RC-MAC: A
Receiver-Centric Medium Access Control Protocol for Wireless Sensor
Networks", Proceedings of the 18th IEEE International Workshop on
Quality of Service (IWQoS 2010).
- Ding Y.;
Wang C.; Xiao, L., "An Adaptive Partitioning Scheme for Sleep
Scheduling and Topology Control in Wireless Sensor Networks", IEEE
Transactions on Parallel and Distributed Systems, p.1352 , vol. 20, 2009.
- Wang C. and L. Xiao, "Sensor Localization
in Concave Environments", ACM Transactions on Sensor Networks, p.3:1 , vol. 4, 2008.
Jianguo Zhao, Ruiguo Yang,
Fernando Cintron, Yuanteng Pei, Kanthakumar Pongaliur, Yong Ding, Pei Huang.
Laboratory for Advanced Networks and Systems (eLANS)
The Robotics and Automation Laboratory (RA Lab)
project is supported by National Science Foundation.