Restoration of coverage blind spots in wireless sensor networks based on ant colony algorithm

Authors:
Lizhong Jin;Jie Jia;Guiran Chang;Xingwei Wang
Affiliations:
School of Information Science & Engineering, Northeastern University, Shenyang, China;School of Information Science & Engineering, Northeastern University,, Shenyang, China;Computing Center, Northeastern University, Shenyang, China;School of Information Science & Engineering, Northeastern University,, Shenyang, China
Venue:
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Year:
2009

Citing 7
Cited 0

Mobility improves coverage of sensor networks

Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Movement-Assisted Sensor Deployment

IEEE Transactions on Mobile Computing
Redundancy and coverage detection in sensor networks

ACM Transactions on Sensor Networks (TOSN)
Improving wireless sensor network lifetime through power aware organization

Wireless Networks
On the use of limited autonomous mobility for dynamic coverage maintenance in sensor networks

Computer Networks: The International Journal of Computer and Telecommunications Networking
A Delaunay Triangulation based method for wireless sensor network deployment

Computer Communications
Managing the Mobility of a Mobile Sensor Network Using Network Dynamics

IEEE Transactions on Parallel and Distributed Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Coverage control is one of the key problems of research and application of wireless sensor networks. In this paper, the coverage control problem for hybrid wireless sensor network consisting of both static and mobile sensors is investigated. A dynamic repair mechanism based on the ant colony algorithm is proposed for coverage blind spots found in the lifetime of wireless sensor networks. Simulation results show that the proposed method not only can make the nodes deployment more even, but also can improve the network quality of service, which verifies the effectiveness and feasibility of the restoration mechanism based on ant colony algorithm.