Abstract
Wireless Mesh Networks provide a reliable, robust and resilient platform for broadband access. Main benefits of using Wireless Mesh Networks are their low cost, robustness, self healing, and self configuring properties. In Wireless Mesh Networks, routing metric determines the path from source to destination. Wireless link conditions can be affected by a number of factors including interference, congestion, mobility, and network topology. Routing metric needs to consider all these factors while making routing decisions. In addition, wireless link conditions do not remain static with time requiring the routing metric to be adaptive. Interference in Wireless Mesh Networks are of two types: inter-channel and intra-channel interference. Existing routing metrics for Wireless Mesh Networks either consider only one of the two interference types or do not capture changing network conditions. In this paper, we propose a new routing metric for Wireless Mesh Networks which takes into account both inter and intra-channel interference and is adaptive to changing network conditions. Our proposed metric is compared with the state of the art and shows throughput improvement of up to 20 percent and latency reduction of 25 percent.
Highlights
With the emergence of a number of bandwidth hungry always on broadband Internet applications, wireless access is required to be robust, reliable and have good connectivity
In one of our earlier works, we presented D-Weighted Cumulative Expected Transmission Time (WCETT) routing metric which used Interface Queue Length to determine channel load and made necessary adjustments to tunable factor [6]
We present an interference aware dynamic routing metric which takes into account current link conditions as well as interchannel interference
Summary
With the emergence of a number of bandwidth hungry always on broadband Internet applications, wireless access is required to be robust, reliable and have good connectivity. Mesh routers can significantly enhance network connectivity through utilizing multiple orthogonal channels Despite their widespread popularity, WMNs face challenges in their large scale deployment. These challenges include Interference, mobility, link congestion, and network load. There are a number of parameters based on which a routing metric algorithm can make decisions These parameters include but are not limited to hop count, throughput, channel congestion, interference, and link load [3]. Some metrics have been proposed which consider factors of packet loss, channel congestion and inter-channel interference amongst others These metrics tend to find shorter paths with lower end to end delay while reducing intra-channel interference resulting in effective utilization of network resources.
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