Comparative analysis of link quality metrics and routing protocols for optimal route construction in wireless mesh networks

Kim, Seongkwan; Lee, Okhwan; Choi, Sunghyun; Lee, Sung-Ju

doi:10.1016/j.adhoc.2011.03.011

Cited by 22 publications

(11 citation statements)

References 18 publications

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“…The proposed protocol is an extension of AOMDV which uses the two routing metrics such as Path Length or Hop Count and Path-Link Quality Estimator (P-LQE) or Cumulative Expected Transmission Count (CETX) [10,17,18,19] in order to select shortest link reliable paths for data transmission. It reduces the routing overhead, packet loss ratio, normalized routing overhead and energy consumption.…”

Section: B General Proceduresmentioning

confidence: 99%

Link reliable multipath routing protocol for mobile ad hoc networks

Periyasamy¹,

Karthikeyan²

2015

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]

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Reliable data transmission among mobile nodes in highly dynamic ad hoc networks was not ensured by AOMDV routing protocol due to the selection of the multiple node disjoint paths based on only minimal hop counts that lead to link failures and route breaks. For eliminating such problems, we propose an improved ad hoc on-demand multipath routing protocol called Link Reliable Multipath Routing (LRMR) protocol. It finds multiple link reliable paths between any source and destination pair for data transmission using two metrics such as Path Length and Path-Link Quality Estimator (P-LQE). We evaluate the performance of LRMR using NS 2.34 with varying network flows under random waypoint mobility model and compare it with AOMDV routing protocol in terms of Quality of Service (QoS) requirements. The LRMR reduces 9% of routing overhead, 18% of packet loss ratio, 13% of normalized routing overhead and 7% of energy consumption than AOMDV routing protocol. It also increases 9% of packet delivery ratio and 2% of throughput than AOMDV routing protocol. From our simulation results, we show that the LRMR protocol outperforms AOMDV routing protocol.

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Section: B General Proceduresmentioning

confidence: 99%

Link reliable multipath routing protocol for mobile ad hoc networks

Periyasamy¹,

Karthikeyan²

2015

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]

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“…(2) [16,17]. For example, the route has high load and the link signal strength is weak and so on [18][19][20]. In particular, in multipoint-to-multipoint communications, the communication failure such as the congestion happens with a high probability because these communications tend to put large load on networks.…”

Section: Mact Phasementioning

confidence: 99%

Proposal and Performance Evaluation of a Multicast Routing Protocol for Wireless Mesh Networks Based on Network Load

Kôyama

Barolli

2015

Mobile Information Systems

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Wireless Mesh Networks (WMNs) can provide wide range Wireless Local Area Networks (WLANs) area by connecting Access Points (APs) of WLANs with each other using radio communications. A routing protocol is very important to keep communication quality over radio multihop communications because radio waves are impacted much by surrounding environment. When we use multiuser shared applications like a video conference and an IP phone, it is predicted that large amount of traffic flows on network. Therefore, we should consider network loads to use these applications. In this paper, we propose a multicast routing protocol for WMNs which considers network loads and hop count. Furthermore, we evaluate performance by simulation. In the simulation results, we show that the proposed protocol has better performance than a conventional protocol (MAODV) at high loaded scenario.

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“…Unfortunately, the physical layer metrics are fairly complex to interpret and require the discovery of link-specific mapping functions to estimate LQ [25]. Some authors have proposed the use of experimentation and offline statistical analysis for discovering these functions [25,60,64,[77][78][79]. However, this approach time-consuming, and ultimately, lacks adaptability.…”

Section: Resultsmentioning

confidence: 99%

“…However, Kim et al noted that if broadcast probes are used to measure ETT as suggested in [63] and if the sizes of the probes remain fixed, then ETT adds no new information to ETX because broadcast transmissions are made at the physical standard's lowest rate [64]. Additionally, Biaz et al discovered that ETT fails to consider forwarding delays, as well as differences in link loss rates, along multiple hops of a route [23].…”

Section: Empirically-based Methodsmentioning

confidence: 99%

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An adaptable fuzzy-based model for predicting link quality in robot networks.

Lowrance

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Comparative analysis of link quality metrics and routing protocols for optimal route construction in wireless mesh networks

Cited by 22 publications

References 18 publications

Link reliable multipath routing protocol for mobile ad hoc networks

Link reliable multipath routing protocol for mobile ad hoc networks

Proposal and Performance Evaluation of a Multicast Routing Protocol for Wireless Mesh Networks Based on Network Load

An adaptable fuzzy-based model for predicting link quality in robot networks.

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