General resource management via several message criteria in Vehicular Delay Tolerant Networks

Sadreddini, Zhaleh; Çavdar, Tuğrul

doi:10.1109/siu.2016.7495734

Cited by 1 publication

(8 citation statements)

References 8 publications

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“…Fig. 5 shows that the HOIPS-VANETs achieve a better packet delivery ratio when compared with the HGFA-VANETs [20] and MOFO-VANETs [21]. A result of those causes the packet delivery ratio attained by the HOIPS-VANETs is higher than that of the earlier methods.…”

Section: Packet Delivery Ratio Calculationmentioning

confidence: 92%

“…Fig. 6 shows that the HOIPS-VANETs produced low routing overhead compared to the HGFA-VANETs [20] and MOFO-VANETs [21]. The effective optimization during communication greatly reduces the production of forward packets and decrease of the routing overhead in the HOIPS-VANETs networks compared with the earlier approaches.…”

Section: Routing Overhead Calculationmentioning

confidence: 94%

“…VANET technology has undergone numerous changes and advancements [15][16][17][18][19][20][21]. There will be data traffic in the network transmission route when there are many vehicles.…”

Section: System Modelmentioning

confidence: 99%

“…This section compares the performance of the HGFA-VANETs [20] and MOFO-VANETs [21] methods with the composed HOIPS-VANETs. the comparison finds based on the performance calculations.…”

Section: Performance Analysesmentioning

confidence: 99%

“…4 represents the graphical illustration of energy efficiency calculation. It shows that the HOIPS-VANETs achieve better efficiency when compared with the HGFA-VANETs [20] and MOFO-VANETs [21]. The drawback HOIPS-VANETs is introduced which provide effective initial path selection and clustering based optimal solution finding.…”

Section: Energy Efficiency Calculationmentioning

confidence: 99%

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Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

2023

IJIES

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Vehicular ad hoc networks (VANETs) recently covered a wide range of intelligent transportation systems (ITSs) and applications. VANETs consist of convinced unique characteristics such as dynamic movement and high speed. Due to these characteristics, link failures occur, and delay and routing overhead is greatly increased, directly affecting the effectiveness, Quality of Service (QoS), and stability of VANETs. To achieve an efficient and reliable network performance, this paper proposes QoS Aware Hybrid Optimization for Improving Path Selection (HOIPS-VANETs) in VANETs. This hybrid optimization combines the Improved ant colony optimization (ACO) and Effective Whale Optimization Algorithm (EWOA). The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. This optimization technique is also applied to low-density, medium-density, and high-density scenarios, as it is compared with the earlier methods. During the experimentation process, our findings reveal no noticeable change in the performance of the earlier methods when applied to the low-density and medium-density scenarios. Still, the performance is gradually reduced when applied to the high-density scenario. On the other hand, the performance of the proposed approach is better for all three tested scenarios and demonstrates effective communication for the VANETs.

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Section: Packet Delivery Ratio Calculationmentioning

confidence: 92%

Section: Routing Overhead Calculationmentioning

confidence: 94%

“…VANET technology has undergone numerous changes and advancements [15][16][17][18][19][20][21]. There will be data traffic in the network transmission route when there are many vehicles.…”

Section: System Modelmentioning

confidence: 99%

“…This section compares the performance of the HGFA-VANETs [20] and MOFO-VANETs [21] methods with the composed HOIPS-VANETs. the comparison finds based on the performance calculations.…”

Section: Performance Analysesmentioning

confidence: 99%

Section: Energy Efficiency Calculationmentioning

confidence: 99%

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