Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Performance of multihop wireless networks: shortest path is not enough
ACM SIGCOMM Computer Communication Review
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
A high-throughput path metric for multi-hop wireless routing
Proceedings of the 9th annual international conference on Mobile computing and networking
Link-level measurements from an 802.11b mesh network
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Comparison of routing metrics for static multi-hop wireless networks
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Routing in multi-radio, multi-hop wireless mesh networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Sniffing Out the Correct Physical Layer Capture Model in 802.11b
ICNP '04 Proceedings of the 12th IEEE International Conference on Network Protocols
Efficient geographic routing in multihop wireless networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Determining the end-to-end throughput capacity in multi-hop networks: methodology and applications
SIGMETRICS '06/Performance '06 Proceedings of the joint international conference on Measurement and modeling of computer systems
Measurement-based models of delivery and interference in static wireless networks
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
An experimental study on the capture effect in 802.11a networks
Proceedings of the second ACM international workshop on Wireless network testbeds, experimental evaluation and characterization
A measurement-based approach to modeling link capacity in 802.11-based wireless networks
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Overhaul of ieee 802.11 modeling and simulation in ns-2
Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems
SELECT: Self-Learning Collision Avoidance for Wireless Networks
IEEE Transactions on Mobile Computing
Minimum Interference Channel Assignment in Multiradio Wireless Mesh Networks
IEEE Transactions on Mobile Computing
Estimating link reliability in wireless networks: an empirical study and interference modeling
INFOCOM'10 Proceedings of the 29th conference on Information communications
Predictable 802.11 packet delivery from wireless channel measurements
Proceedings of the ACM SIGCOMM 2010 conference
Measurement-based simulation of WiFi interference
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
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In recent years, it has been widely believed in the community that the link reliability is strongly related to received signal strength indicator (RSSI) [or signal-to-interference-plus-noise ratio (SINR)] and external interference makes it unpredictable, which is different from the previous understanding that there is no tight relationship between the link reliability and RSSI (or SINR), but multipath fading causes the unpredictability. However, both cannot fully explain why the unpredictability appears in the link state. In this paper, we unravel the following questions: 1) What causes frame losses that are directly related to intermediate link states? 2) Is RSSI or SINR a right criterion to represent the link reliability? 3) Is there a better measure to assess the link reliability? We first configured a testbed for performing a real measurement study to identify the causes of frame losses, and observed that link reliability depends on an intraframe SINR distribution, not a single value of RSSI (or SINR). We also learned that an RSSI value is not always a good indicator to estimate the link state. We then conducted a further investigation on the intraframe SINR distribution and the relationship between the SINR and link reliability with the ns-2 simulator. Based on these results, we finally propose an interference modeling framework for estimating link states in the presence of wireless interferences. We envision that the framework can be used for developing link-aware protocols to achieve their optimal performance in a hostile wireless environment.