Computers and Intractability; A Guide to the Theory of NP-Completeness
Computers and Intractability; A Guide to the Theory of NP-Completeness
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Wireless sensor networks: a survey
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Exact and approximate balanced data gathering in energy-constrained sensor networks
Theoretical Computer Science - Algorithmic aspects of wireless sensor networks
Energy concerns in wireless networks
IEEE Wireless Communications
Routing techniques in wireless sensor networks: a survey
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Propagation measurements and models for wireless communications channels
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Approximating relay placement in sensor networks
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Design of sensor networks with guaranteed connectivity and lifetime
WICON '07 Proceedings of the 3rd international conference on Wireless internet
On Performance of Node Placement Approaches for Hierarchical Heterogeneous Sensor Networks
Mobile Networks and Applications
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An efficient clusterhead placement for hybrid sensor networks
ADHOC-NOW'10 Proceedings of the 9th international conference on Ad-hoc, mobile and wireless networks
Fast track article: Designing hierarchical sensor networks with mobile data collectors
Pervasive and Mobile Computing
A new architecture for hierarchical sensor networks with mobile data collectors
ICDCN'10 Proceedings of the 11th international conference on Distributed computing and networking
Positioning Algorithms by Information Fusion in Wireless Sensor Networks
Wireless Personal Communications: An International Journal
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We study the computational complexity of relay placement in energy-constrained wireless sensor networks. The goal is to optimise balanced data gathering, where the utility function is a weighted sum of the minimum and average amounts of data collected from each sensor node. We define a number of classes of simplified relay placement problems, including a planar problem with a simple cost model for radio communication. We prove that all of these problem classes are NP-hard, and that in some cases even finding approximate solutions is NP-hard.