Discrete Mathematics - Topics on domination
Handbook of computational geometry
Handbook of computational geometry
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Optimizing the Placement of Internet TAPs in Wireless Neighborhood Networks
ICNP '04 Proceedings of the 12th IEEE International Conference on Network Protocols
Collaborative in-network processing for target tracking
EURASIP Journal on Applied Signal Processing
Optimal base station placement in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Efficient energy balancing aware multiple base station deployment for WSNs
EWSN'11 Proceedings of the 8th European conference on Wireless sensor networks
Optimal multi-sink positioning and energy-efficient routing in wireless sensor networks
ICOIN'05 Proceedings of the 2005 international conference on Information Networking: convergence in broadband and mobile networking
On energy provisioning and relay node placement for wireless sensor networks
IEEE Transactions on Wireless Communications
Lifetime aware deployment of k base stations in WSNs
Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Hi-index | 0.00 |
We study the problem of deploying k base stations in a wireless sensor network such that the maximum shortest hop distance from all the sensor nodes to their designated base stations is minimised. We propose a 2-approximation algorithm for this problem, and prove that a (2−ε )-approximation algorithm does not exist unless P =NP holds. The time complexity of our 2-approximation algorithm is O (n 2 logn ), where n is the number of sensor nodes of the wireless sensor network. In the special case where k is 1, we propose an O (n 2) time algorithm that is guaranteed to find the optimal location of the base station. Furthermore, we show that our previous heuristic for balancing clusters of sensors can be modified to significantly improve the performance of our 2-approximation algorithm.