A Unified Metric for Correlated Diversity in Wireless Networks

Shuai Wang, Anas Basalamah, Song Min Kim, Guang Tan, Yunhuai Liu, Tian He
2016 IEEE Transactions on Wireless Communications  
Recent pioneer work has shown that packet receptions on adjacent links are correlated, which contradicts the long held assumption that wireless links are statistically independent. Since wireless link correlation affects a wide range of protocol designs, it is essential to quantify the impact generically. Specifically, this work focuses on a unified transmission cost metric for diversity based routing schemes including opportunistic routing, network coding, and hybrid routing. Our study covers
more » ... oth unicast and broadcast. Compared with the legacy metrics, our metric provides a direct and accurate estimation of the transmission cost in the presence of link correlation. The new metric helps a wide range of routing algorithms determine when they can benefit from reception diversity, and how to maximize the benefit, at negligible costs. We evaluate the metric on one 802.11 testbed and three 802.15.4 testbeds running TelosB, MICAz, and GreenOrbs nodes. The experimental results show that our metric (i) reduces 92% and 94% of the estimation error of the transmission cost in unicast and broadcast, and (ii) outperforms the link independent metric in both unicast and broadcast applications.
doi:10.1109/twc.2016.2581821 fatcat:zamfv4r6rzg3ni7kup7b6u4vee