2018 · 15 citations · 13 references
EngineeringElectrical EngineeringDigital CommunicationEnvironmental ModelingWireless CommunicationsNetwork Performance AnalysisSensor NetworksWireless Channel ModelingWireless Communication ProtocolsWireless NetworksWireless Sensor NetworksIeee 802.15.4Packet Loss AnalysisPath Loss ModelingPropagation Environment CharacterizationPropagation Path LossRadio Wave Path LossSpatio-temporal DependenceWireless Network Performance
Modeling and prediction of Packet Loss Rate (PLR) of wireless links using hardware information is essential for the design of higher-layer protocols in Wireless Sensor Networks. While many previous studies revealed the spatio-temporal variation of various link quality metrics, how environment impacts on the mapping between PLR and hardware indicators still remains unclear. Without a comprehensive understanding of such environmental impact, the acquired empirical PLR models are severely limited to specific scenarios. In this paper, we present the results of indoor and outdoor experimental campaigns focusing on the impact of various environmental factors (e.g., obstacles, human activities, climate conditions) on the dependency between the link PLR, signal to noise ratio (SNR) and packet length. Rich observations are made on the spatio-temporal characteristics of the PLR-SNR relationship and our analysis shows that link PLR can be modeled, in all experimented scenarios, as an exponential function of SNR and packet length with two model parameters that may vary over space and time. Besides, implications of the observations are summarized, providing guidelines to construct and adapt PLR models in different environments.
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Radio link quality estimation in wireless sensor networks
Nouha Baccour, Anis Koubâa, Luca Mottola et al. · ACM Transactions on Sensor Networks · 2012 · 624 citations · Full text
Computing, Electrical Engineering, Digital Communication +12
Shan Lin, Jingbin Zhang, Gang Zhou et al. · 2006 · 536 citations
Engineering, Computer Engineering, Electrical Engineering +16
An empirical study of low-power wireless
Kannan Srinivasan, Prabal Dutta, Arsalan Tavakoli et al. · ACM Transactions on Sensor Networks · 2010 · 333 citations