A Position-based Routing Module for Simulation of VANETs in NS-3

Κατσαρός, Κωνσταντίνος; Dianati, Mehrdad; Roscher, Karsten

doi:10.4108/icst.simutools.2012.247678

Cited by 6 publications

(6 citation statements)

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“…For the QoRA approach, we developed a simulation model within the framework of the network simulator (ns-3) [27], and the simulation results were compared with the popular topology-based routing protocol AODV and geographical-based routing protocol CLWPR [12,13]. We decided to compare our approach with AODV and CLWPR because some other ACO multipath-routing protocol has not been implemented in ns-3 yet.…”

Section: Implementations and Simulation Resultsmentioning

confidence: 99%

“…CLWPR also proposes the carry-n-forward mechanism as a link repair strategy. However, this method increases the packet delivery ratio but it comes at the cost of high end-to-end delay and jitter, which is not suitable for QoS restricted real-time multimedia applications [13]. The CLWPR protocol is observed to perform well in high node-density scenarios.…”

Section:  Packet Delivery Ratio (Pdr)mentioning

confidence: 99%

“…In [11] it is shown that position-based protocols are more suitable for multimedia transmission over VANET than reactive protocols, whereas proactive protocols are not at all suitable for high mobility in VANETs. Katsaros et al [12,13] proposed a position-based routing protocol for urban vehicular environments, named Cross-Layer Weighted Position based Routing (CLWPR). As the name suggests, the protocol uses the position information of the nodes and cross-layer mechanisms between the PHY layer and MAC layer to improve the efficiency and reliability, respectively, of the routing protocol in VANETs.…”

Section: Qos-aware Routing In Vanetsmentioning

confidence: 99%

“…= ifOutDiscards + ifOutErrors (13) With these computed values, each node n can calculate the packet loss ratio ( ( )) as shown in Equation 14. The optimal value to refresh ( ) has been verified by multiple simulation runs and is set to ∆ = 5 by calculating the difference between successive values ( = − ).…”

Section: Droppktsmentioning

confidence: 99%

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QoS-aware Routing in Multi-rate Ad hoc Networks Based on Ant Colony Optimization

Al-Ani¹,

Seitz²

2016

NPA

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QoS-aware routing in mobile ad hoc networks (MANETs) is a major challenge due to node mobility and scarcity of resources. QoS-aware routing based on ant colony optimization (ACO) algorithms is a promising approach to overcome these problems. However, as compared to MANETs, vehicular ad hoc networks (VANETs) face additional challenges due to rapid topology change, making the estimation or prediction of QoS parameters difficult or stale. VANETs require time-critical message delivery, as late delivery may result in endangering lives. Currently existing routing protocols usually require the exchange of additional control message between neighbor nodes to compute QoS parameters. This makes the routing protocol too slow to react to fast topology change and also does not consider network congestion when forwarding a data packet. To reduce the overhead introduced to collect information from neighbor nodes and to obtain an accurate estimate of QoS parameters, we use the simple network management protocol to estimate these values locally. This paper describes a new approach for calculating QoS parameter locally and avoiding congestion during data transmission. The simulations are implemented using the network simulator ns-3, and the results show that our approach is scalable and performs well in high mobility. QoS-aware routing in mobile ad hoc networks (MANETs) is a major challenge due to node mobility and scarcity of resources. QoS-aware routing based on ant colony optimization (ACO) algorithms is a promising approach to overcome these problems. However, as compared to MANETs, vehicular ad hoc networks (VANETs) face additional challenges due to rapid topology change, making the estimation or prediction of QoS parameters difficult or stale. VANETs require time-critical message delivery, as late delivery may result in endangering lives. Currently existing routing protocols usually require the exchange of additional control message between neighbor nodes to compute QoS parameters. This makes the routing protocol too slow to react to fast topology change and also does not consider network congestion when forwarding a data packet. To reduce the overhead introduced to collect information from neighbor nodes and to obtain an accurate estimate of QoS parameters, we use the simple network management protocol to estimate these values locally. This paper describes a new approach for calculating QoS parameter locally and avoiding congestion during data transmission. The simulations are implemented using the network simulator ns-3, and the results show that our approach is scalable and performs well in high mobility.

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Section: Implementations and Simulation Resultsmentioning

confidence: 99%

Section:  Packet Delivery Ratio (Pdr)mentioning

confidence: 99%

Section: Qos-aware Routing In Vanetsmentioning

confidence: 99%

Section: Droppktsmentioning

confidence: 99%

See 2 more Smart Citations

QoS-aware Routing in Multi-rate Ad hoc Networks Based on Ant Colony Optimization

Al-Ani¹,

Seitz²

2016

NPA

View full text Add to dashboard Cite

show abstract

“…Vehicular ad hoc network's predictive mobility patterns and highly dynamic topology pose challenging demands on routing methods to deal with such environment [2,3,7,8]. These demands make routing algorithms to use positions of nodes in order to provide successful communication from the source to the destination.…”

Section: Preliminarymentioning

confidence: 99%