Performance evaluation of AODV and OLSR in highly fading vehicular ad hoc network environments

Khan, Imran Ali; Qayyum, Amir

doi:10.1109/inmic.2009.5383121

Cited by 44 publications

(33 citation statements)

References 12 publications

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“…While the authors in [7] used a heterogeneous network model, they propose the vehicle node density parameter to improve the performance of the AODV routing protocol and OLSR routing protocol under two different scenarios; however, they do so in the absence of a realistic MAC protocol and fading propagation model for VANETs environment, 802.11g standard was configured and 1440B as a packet payload. In [8], the authors employed various numbers of nodes up to 120 nodes moving within the real map of US census Bureau, they consider a realistic fading model that reflects the impact of obstacles on radio signal and IEEE 802.11p was configured. However, only light network load has been taken into account and the network traffic was picked up randomly and do not represent a VANET application.…”

Section: Background and Related Workmentioning

confidence: 99%

Evaluating VANET routing in urban environments

Ali

Phillips

Yang

2016

2016 39th International Conference on Telecommunications and Signal Processing (TSP)

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Section: Background and Related Workmentioning

confidence: 99%

Evaluating VANET routing in urban environments

Ali

Phillips

Yang

2016

2016 39th International Conference on Telecommunications and Signal Processing (TSP)

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“…While Zuo [7]used a heterogeneous network model, proposing the vehicle node density parameter to improve the performance of the AODV routing protocol and OLSR routing protocol under two different scenarios; however, they do so in the absence of a realistic MAC protocol and fading propagation model for their environment, 802.11g standard was configured and 1440B as a packet payload. Khan [8] employed various numbers of nodes up to 120 nodes moving within the real map of US Census Bureau, they consider a realistic fading model that reflects the impact of obstacles on radio signal and IEEE 802.11p was configured. However, only light network load has been taken into account and the network traffic was picked up randomly and do not represent a VANET application.…”

Section: Background and Related Workmentioning

confidence: 99%

Drop-Burst Length Evaluation of Urban VANETs

Ali¹,

Phillips

Yang³

2017

IJATES

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Abstract-Networks performance is traditionally evaluated using packet delivery ratio (PDR) and latency (delay). We propose an addition mechanism the drop-burst length (DBL). Many traffic classes display varying application-level performance according to the pattern of drops, even if the PDR is similar. In this paper we study a number of VANET scenarios and evaluate them with these three metrics.Vehicular Ad-hoc Networks (VANETs) are an emerging class of Mobile Ad-hoc Network (MANETs) where nodes include both moving vehicles and fixed infrastructure. VANETs aim to make transportation systems more intelligent by sharing information to improve safety and comfort. Efficient and adaptive routing protocols are essential for achieving reliable and scalable network performance. However, routing in VANETs is challenging due to the frequent, high-speed movement of vehicles, which results in frequent network topology changes.Our simulations are carried out using NS2 (for network traffic) and SUMO (for vehicular movement) simulators, with scenarios configured to reflect real-world conditions. The results show that OLSR is able to achieve a best DBL performance and demonstrates higher PDR performance comparing to AODV and GPSR under low network load. However, with GPSR, the network shows more stable PDR under medium and high network load. In term of delay OLSR is outperformed by GPSR.

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“…The most widespread protocol in this group is OLSR [2]. However, OLSR has shown several drawbacks when it is evaluated in vehicular networks [7], [8], forcing it to increase the beacon frequency to improve performance, but causing channel saturation and collisions.…”

Section: Related Workmentioning

confidence: 99%

“…Several studies [7], [8], [3] show that choosing an adequate beacon frequency is a critical issue. A high beacon frequency will saturate the network.…”

Section: ) Local Minimumsmentioning

confidence: 99%

TGRP: Topological-Geographical adaptive Routing Protocol for vehicular environments

Baguena

Calafate

Cano

et al. 2014

2014 IFIP Wireless Days (WD)

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Abstract-Vehicular networks represent an extremely variable and unpredictable environment. Scenarios can vary from very dense and congested configurations to sparsely populated arrangements. Therefore, protocols designed for such a general scope may fail to efficiently behave in certain configurations. In this paper we propose the Topological-Geographical Routing Protocol (TGRP), a novel solution that presents an adaptive behavior by using a set of standard routing strategies. According to the scenario, TGRP chooses among four different routing approachestwo-hop direct delivery, Dynamic MANET On-demand (DYMO), greedy georouting, and store-carry-andforward technique-to dynamically adapt its behavior to every situation. Performance evaluation shows that TGRP presents a more stable performance under different circumstances, being more adaptable to the changing characteristics of vehicular networks. In fact, TGRP outperforms DYMO by 10% in low density scenarios. In dense networks, TGRP also outperforms the Delay Tolerant Network (DTN) protocol by 10%.

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Performance evaluation of AODV and OLSR in highly fading vehicular ad hoc network environments

Cited by 44 publications

References 12 publications

Evaluating VANET routing in urban environments

Evaluating VANET routing in urban environments

Drop-Burst Length Evaluation of Urban VANETs

TGRP: Topological-Geographical adaptive Routing Protocol for vehicular environments

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