Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
An Efficient k-Means Clustering Algorithm: Analysis and Implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wireless Link SNR Mapping Onto An Indoor Testbed
TRIDENTCOM '05 Proceedings of the First International Conference on Testbeds and Research Infrastructures for the DEvelopment of NeTworks and COMmunities
Space-time-frequency coded OFDM over frequency-selective fading channels
IEEE Transactions on Signal Processing
Theoretical analysis and performance of OFDM signals in nonlinear fading channels
IEEE Transactions on Wireless Communications
An empirically based path loss model for wireless channels in suburban environments
IEEE Journal on Selected Areas in Communications
Link gain matrix estimation in distributed large-scale wireless networks
EURASIP Journal on Wireless Communications and Networking - Special issue on simulators and experimental testbeds design and development for wireless networks
Experimental analysis and characterization of a wireless sensor network environment
Proceedings of the 7th ACM workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
An Investigation of Link Quality Assessment for Mobile Multi-hop and Multi-rate Wireless Networks
Wireless Personal Communications: An International Journal
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Network simulation packages such as NS-2 and OPNET have been shown to be a limited option for cross-layer experimentation in wireless networking because they cannot faithfully capture the propagation and interference characteristics of wireless channels [1]. Recent research on network cross-layer optimizations further raises this concern due to the close interaction between physical layer feedback and higher layer protocols. To overcome this shortcoming, wireless testbeds have been used wherein novel protocols and application concepts can be assessed in a realistic environment under controlled and repeatable conditions. Since average signal-to-noise-ratio (SNR) often determines the performance of a wireless link, our goal is to seek link SNR mapping methods that replicate real-world link SNRs onto an indoor testbed. Specifically, we devise and assess link SNR mapping methodologies for two different applications: hierarchical networks with a fixed access point (AP), and mesh networks. For the AP-based networks, we employ the minimum weight matching algorithm to minimize the root-mean-square (RMS) mapping error between the testbed and real-world SNRs. For the mesh networks, to avoid the technical difficulties inherent in "forward mapping", we develop a "reverse mapping" method by which we turn a testbed configuration with specified link SNRs into a real-world configuration. By inducing the link gain difference between the testbed and the real-world distance-dependent path loss to have a log-normal distribution, a very close approximation to real-world shadow fading is achieved. We present results for a variety of indoor and outdoor real-world scenarios to demonstrate the generality of our method.