Principles of mobile communication (2nd ed.)
Principles of mobile communication (2nd ed.)
IEEE 802.15.4 Low-Rate Wireless Personal Area Networks: Enabling Wireless Sensor Networks
IEEE 802.15.4 Low-Rate Wireless Personal Area Networks: Enabling Wireless Sensor Networks
Mobile Fading Channels
Wireless Communications
Probability and Random Processes For EE's (3rd Edition)
Probability and Random Processes For EE's (3rd Edition)
A survey on wireless multimedia sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Ambient Intelligence—the Next Step for Artificial Intelligence
IEEE Intelligent Systems
Autoregressive modeling for fading channel simulation
IEEE Transactions on Wireless Communications
A Case for Considering Hyper-Rayleigh Fading Channels
IEEE Transactions on Wireless Communications
Ultrawideband Channel Modeling on the Basis of Information-Theoretic Criteria
IEEE Transactions on Wireless Communications
Performance of Fountain Codes in Collaborative Relay Networks
IEEE Transactions on Wireless Communications
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
Multiple-Antenna Cooperative Wireless Systems: A Diversity–Multiplexing Tradeoff Perspective
IEEE Transactions on Information Theory
The ultra-wide bandwidth indoor channel: from statistical model to simulations
IEEE Journal on Selected Areas in Communications
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Sensor networks and Ad-hoc networks, where nodes inter-communicate without fixed infrastructure, have recently attracted interest due to potential use in industrial, environmental, and safety-related applications. The fading statistics of the propagation channels between sensor nodes are essential to determine the possible data rate, outage, and latency of sensor networks. This paper presents (to the best of our knowledge) the first in-depth analysis, based on measurements, of the propagation channels between typical sensor node locations in office environments. We find that the amplitude fading distribution can be characterized as Ricean. The Rice factor is analyzed as a function of distance and it is determined that it is not a monotonically decreasing function. Even in pure line-of-sight situations, Rice factors show a random behavior and are on the order of 10 or less. We propose models for the small- and large-scale fading correlation. A simulation model based on our analysis is also provided. Our results have relevance for the analysis of bit error rates and diversity order in clustered sensor networks.