TL;DR: A new Interference-Load Aware routing metric, ILA, is proposed that finds paths with reduced inter-flow and intra-flow interference to route the traffic through congestion free areas and balance the load amongst the network nodes.
TL;DR: A new Interference-Load Aware routing metric, ILA, is proposed that finds paths with reduced inter-flow and intra-flow interference to route the traffic through congestion free areas and balance the load amongst the network nodes.
Abstract: The static nature of mesh nodes imposes requirements for designing routing metrics that support high throughput and low packet delay. This paper considers the problem of interference-load aware routing in multi channel wireless mesh networks. We propose a new Interference-Load Aware routing metric, ILA, that finds paths with reduced inter-flow and intra-flow interference. The aim of this metric is to route the traffic through congestion free areas and balance the load amongst the network nodes. We incorporate this new metric in the well known AODV routing protocol and study the performance of ILA through simulations. We show that the proposed metric is able to adapt to changes in interfering traffic better than existing link metrics such as ETT and MIC. We also demonstrate that our metric delivers high throughput in multi channel networks.
TL;DR: Simulation results show that the proposed routing metric outperforms minimum hops metric and Weighted Cumulative Expected Transmission Time (WCETT) metric in terms of network throughput, end-to-end delay, packets delivery ratio and route overhead in CRNs.
Abstract: Cognitive Radio (CR) technology provides a new and promising solution to improve the spectrum utilization. Due to the dynamic and diversity characteristics of channels in Cognitive Radio Networks (CRNs), channel assignment and routing paths selection are critical issues for the functionality and performance of CRNs. In this paper, the routing metric of Minimum cumulative Interference and channel Switching Delay (MISD) is proposed for CRNs, which jointly undertakes the intra/inter-flow interference and channel switching delay for the end-to-end route. With consideration of the diversity of Spectrum OPportunity (SOP) set for each cognitive user, the optimal end-to-end path and channel on each hop are found in route resolve procedure by cross-layer design among the physical layer, MAC layer and network layer. Simulation results show that the proposed routing metric outperforms minimum hops metric and Weighted Cumulative Expected Transmission Time (WCETT) metric in terms of network throughput, end-to-end delay, packets delivery ratio and route overhead in CRNs.
TL;DR: A new location-aware routing metric (ALARM) is presented that better captures the resulting co-channel interference as a function of channel assignments and is compared with weighted cumulative expected transmission time metric (WCETT) via OPNET over a comprehensive range of network parameters for linear and 2-D grid topologies.
Abstract: The importance of suitable link-aware routing metrics for multi-hop (mesh) wireless networks is well-established. Channel-to-link assignments impact the distribution of co- channel links and contribute to inter-flow and intra-flow interference. In this paper we present a new location-aware routing metric (ALARM) that better captures the resulting co-channel interference as a function of channel assignments. The link metrics used are sensitive to the location of nearby co-channel links that are within interference or carrier sensing range; these can be pre-calculated and used with any routing algorithm. The performance of ALARM is compared with weighted cumulative expected transmission time metric (WCETT) via OPNET over a comprehensive range of network parameters for linear and 2-D grid topologies.
TL;DR: The simulations results demonstrate that the proposed M2iRi2 can improve both network throughput and end-to-end delay.
Abstract: In this paper, we propose a cross-layer routing protocol design over multi-power, multi-interface wireless mesh networks (WMNs). Variable transmission power levels cause different network connectivity and impact the route discovery.Further, different power levels have different network spatial reusability and interference. These features affect the network throughput and end-to-end delay. We incorporate transmission power control with intra/inter-flow interference, and proposed the Multi-power Multi-interface Routing protocol considering Intra/Inter flow Interference (M2iRi2). Each radio interface locally calculates the tolerable interference (iTolerance)information at the physical layer and sends to the network layer to exchange with neighbors to constrain the power level selection at the route discovery. The traffic flow chooses the appropriate power level and the path with less interference to forward the packets. In this way, the simulations results demonstrate that the proposed M2iRi2 can improve both network throughput and end-to-end delay.