Slowing down sorting networks to obtain faster sorting algorithms
Journal of the ACM (JACM)
Applying Parallel Computation Algorithms in the Design of Serial Algorithms
Journal of the ACM (JACM)
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
IEEE Transactions on Computers
Designing localized algorithms for barrier coverage
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Barrier coverage with wireless sensors
Wireless Networks
Localized sensor self-deployment with coverage guarantee
ACM SIGMOBILE Mobile Computing and Communications Review
On Minimizing the Maximum Sensor Movement for Barrier Coverage of a Line Segment
ADHOC-NOW '09 Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks
Optimal movement of mobile sensors for barrier coverage of a planar region
Theoretical Computer Science
New algorithms for barrier coverage with mobile sensors
FAW'10 Proceedings of the 4th international conference on Frontiers in algorithmics
On minimizing the sum ofensor movements for barrier coverage of a line segment
ADHOC-NOW'10 Proceedings of the 9th international conference on Ad-hoc, mobile and wireless networks
Representing a Functional Curve by Curves with Fewer Peaks
Discrete & Computational Geometry
Minimum-cost linear coverage by sensors with adjustable ranges
WASA'11 Proceedings of the 6th international conference on Wireless algorithms, systems, and applications
Scan-Based Movement-Assisted Sensor Deployment Methods in Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Distributed algorithms for barrier coverage using relocatable sensors
Proceedings of the 2013 ACM symposium on Principles of distributed computing
Proceedings of the twenty-fifth annual ACM symposium on Parallelism in algorithms and architectures
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In this paper, we study the problem of moving n sensors on a line to form a barrier coverage of a specified segment of the line such that the maximum moving distance of the sensors is minimized. Previously, it was an open question whether this problem on sensors with arbitrary sensing ranges is solvable in polynomial time. We settle this open question positively by giving an O(n2lognloglogn) time algorithm. Further, if all sensors have the same-size sensing range, we give an O(nlogn) time algorithm, which improves the previous best O(n2) time solution.