We present a highly efficient and accurate link-quality measurement framework for multi-hop wireless mesh networks, called EAR (Efficient and Accurate link-quality monitoR), that has the following three salient features. First, EAR consists of three complementary measurement schemes: passive, cooperative, and active monitoring. By dynamically and adaptively selecting one of these schemes, EAR maximizes the measurement accuracy while minimizing the measurement overhead by exploiting each node's egress/cross traffic. Next, EAR effectively identifies and exploits wireless link asymmetry by measuring the quality of a link in each direction, improving efficiency in utilizing network capacity by up to 114%. Finally, because EAR is the solution of both the network layer and the IEEE 802.11-based device driver, it can be easily deployed in existing multi-hop wireless mesh networks without system recompilation or MAC firmware modification.
EAR has been evaluated extensively via both experimentation on our Linuxbased implementation and ns-2-based simulation. Both experimentation and simulation results show that EAR provides highly accurate link-quality information with the minimum overheads.
To learn more about EAR, please refer to the following paper:
Kyu-Han Kim and Kang G. Shin, "On Accurate Measurement of Link Quality In Multi-hop Wireless Mesh Networks" in Proceedings of the ACM MobiCom'06. [Paper]
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