LEAPNet: Self-adaptable All Terrain Sensor Networks


            [Introduction]          [News and Video Demo ]          [Research and Publications]          [People]          [Research Labs]          [Other Information


Introduction

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.


News and Video Demo

The research produced jumping sensors that have several important features, which are demonstrated in videos available at the IEEE Spectrum

Inside 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.

 

The video demo of the design and performance of the jumping sensor can be accessed at IEEE website:

 

A single motor actuated miniature steerable jumping robot, IROS, 2012

 


Research and Publications

The 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), 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), 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 2011), 2011.
    • 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.

People

          Faculty: Li Xiao, Matt Mutka, Ning Xi

            Students: Jianguo Zhao, Ruiguo Yang, Fernando Cintron, Yuanteng Pei, Kanthakumar Pongaliur, Yong Ding, Pei Huang.


Research Labs

Experimental Laboratory for Advanced Networks and Systems (eLANS)

 

The Robotics and Automation Laboratory (RA Lab)

 


Other Information

            This project is supported by National Science Foundation.