Real-time obstacle avoidance for manipulators and mobile robots
International Journal of Robotics Research
Coverage for robotics – A survey of recent results
Annals of Mathematics and Artificial Intelligence
Cooperative Control: Models, Applications, and Algorithms
Cooperative Control: Models, Applications, and Algorithms
A Bidding Protocol for Deploying Mobile Sensors
ICNP '03 Proceedings of the 11th IEEE International Conference on Network Protocols
Sensor deployment and target localization in distributed sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
Estimating Coverage Holes and Enhancing Coverage in Mixed Sensor Networks
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
Worst and Best-Case Coverage in Sensor Networks
IEEE Transactions on Mobile Computing
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
Near-optimal sensor placements: maximizing information while minimizing communication cost
Proceedings of the 5th international conference on Information processing in sensor networks
Networking Wireless Sensors
Controllably Mobile Infrastructure for Low Energy Embedded Networks
IEEE Transactions on Mobile Computing
Cooperative Cleaners: A Study in Ant Robotics
International Journal of Robotics Research
Event-Based Motion Control for Mobile-Sensor Networks
IEEE Pervasive Computing
Efficient routing to mobile sinks in wireless sensor networks
WICON '07 Proceedings of the 3rd international conference on Wireless internet
Efficient Boustrophedon Multi-Robot Coverage: an algorithmic approach
Annals of Mathematics and Artificial Intelligence
Collaborative area monitoring using wireless sensor networks with stationary and mobile nodes
EURASIP Journal on Advances in Signal Processing - Special issue on signal processing advances in robots and autonomy
Nonmyopic adaptive informative path planning for multiple robots
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Distributed coverage control for mobile sensors with location-dependent sensing models
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Minimal Energy Path Planning for Wireless Robots
Mobile Networks and Applications
Impact of mobile node density on detection performance measures in a hybrid sensor network
IEEE Transactions on Wireless Communications
Exploiting Mobility for Efficient Coverage in Sparse Wireless Sensor Networks
Wireless Personal Communications: An International Journal
Improving the Efficiency of Clearing with Multi-agent Teams
International Journal of Robotics Research
Mobile sensor deployment in unknown fields
INFOCOM'10 Proceedings of the 29th conference on Information communications
Robust sensor placements at informative and communication-efficient locations
ACM Transactions on Sensor Networks (TOSN)
Search and pursuit-evasion in mobile robotics
Autonomous Robots
A testbed for coverage control using mixed wireless sensor networks
Journal of Network and Computer Applications
Navigation of Multiple Kinematically Constrained Robots
IEEE Transactions on Robotics
A neural network approach to complete coverage path planning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Mixed Wireless Sensor Network (WSN) is a network that consists of static and mobile sensor nodes. This article presents a collaborative framework where a team of autonomous mobile sensor nodes navigate through a sparse network with static sensors to improve the overall area coverage and search for events that may have occurred in areas not monitored by the static network. The mobile sensor nodes have limited communication and sensing ranges and collaborate to autonomously and dynamically decide their trajectories to enhance the area coverage, avoiding obstacles and collisions and adapting to new information such as failures of static nodes. In the context of the proposed framework, one can address various trade-offs. Examples include the trade off between the area coverage and the energy cost in terms of traveled distance and the one between the area coverage and information exchange among the mobile nodes. Furthermore, the proposed framework can be used to address spatially adaptive sampling. Finally, the proposed framework has been evaluated under different scenarios and has been shown to perform very well.