Hybrid opportunistic and position-based routing protocol in vehicular ad hoc networks

Ghaffari, Ali

doi:10.1007/s12652-019-01316-z

Cited by 70 publications

(41 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A mobile ad hoc network consists of multiple communication devices and terminals with transceivers, which can complete the communication process without infrastructure [33][34][35][36]. A multihop autonomous system built by MANET nodes has the advantages of no center, self-organization, and rapid networking [37].…”

Section: Mobile Ad Hoc Networkmentioning

confidence: 99%

Dispersed Computing for Tactical Edge in Future Wars: Vision, Architecture, and Challenges

Yang

Sun

et al. 2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

In the future, the tactical edge is far away from the command center, the resources of communication and computing are limited, and the battlefield situation is changing rapidly, which leads to the weak connection and fast changes of network topology in a harsh and complex battlefield environment. Thus, to meet the needs of communication and computing to build a new generation of computing architecture for real-time sharing and service collaboration of tactical edge resources to win the future war, the dispersed computing (DCOMP) seeks a new solution to satisfy the requirements of fast and efficient sensing, transmission, integrating, scheduling, and processing of various information in the tactical edge. Through the research of a traditional computing paradigm of mobile cloud computing (MCC), fog computing (FC), mobile edge computing (MEC), mobile ad hoc network (MANET), etc., it can be found that these computations have difficulty in meeting the high changing and complex battlefield environment and we propose a novel architecture of DCOMP to build a scalable, extensible, and robust decision-making system, to realize powerful and secure communication, computing, storage, and information processing capabilities for the tactical edge. We illustrate the fundamental principles of building a network model, channel allocation, and forwarding control mechanism of the network architecture for DCOMP called DANET and then design a new architecture, programming model, task awareness, and computing scheduling for DCOMP. Finally, we discuss the main requirements and challenges of DCOMP in future wars.

show abstract

Section: Mobile Ad Hoc Networkmentioning

confidence: 99%

Dispersed Computing for Tactical Edge in Future Wars: Vision, Architecture, and Challenges

Yang

Sun

et al. 2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…To reduce the transmission delay forwarder selection schemes using one or multiple vehicles as a candidate next hops considered. In [30] a hybrid opportunistic and position-based routing protocol in VANETs proposed. In this method considered parameters such as the position of nodes, link quality and node density.…”

Section: Related Workmentioning

confidence: 99%

“…As stated in [13], the transmission range of interlevel communication decreases and result in reduces the connectivity probability and PDR. It also increases the number of hops, so the σ value of equation (18) reduces the priority of nexthop selection located on a different level and is calculated according to (19):…”

Section: Packet Advancement Metricmentioning

confidence: 99%

See 1 more Smart Citation

3DEOR: an opportunity routing protocol using evidence theory appropriate for 3D urban environments in VANETs

Bozorgzadeh

Barati

2020

IET Communications

View full text Add to dashboard Cite

The vehicular ad hoc network (VANET) is a promising technology to improve the comfort and safety of passengers, roads and urban traffic. Applications applied to VANETs require efficient routing protocols. Urban environments include tunnels, subways, overpasses, and multilevel highways, which indicate the multilevel information environment and specific conditions of radio channel dissemination. In this paper proposed a three-dimensional (3D) evidence theory based, opportunistic routing protocol, called 3DEOR, which address the above issues using a new hybrid criterion called PAL. The PAL criterion includes three metrics of packet delivery probability to compensate for unreliable dissemination environments, packet advancement appropriated to 3D environments to reduce the number of hop counts and level to improve link connectivity. Prioritise the relay set members based on the new criteria to select the best relay node. In cases where there is no certainty, the evidence theory can be a good choice for combining the three metrics of the PAL criterion. The simulation results show the superiority of the proposed protocol over the 3D link state aware geographic opportunistic (3DLSGO) and 3D greedy perimeter stateless routing (3DGPSR) protocols in network performance indices such as packet delivery rate, end-to-end delay and average hop count. Nomenclature P i j packet delivery metric A i j packet advancement metric L i j level metric θi set of n i node neighbours n i node i n i j neighbour j of n i node m(n i j) mass function λ exponential distribution parameter P(q, m) probability of delivering m bits with distance q D id distance between node i and destination d D jd distance between neighbour node j and destination d X i j distance between nodes i and j A i j intra intra packet advancement metric A i j inter inter packet advancement metric h distance between levels R transmission range

show abstract

“…A Lion optimization algorithm was designed in [8] to select the optimal route path with minimum cost. But the performance of reliable data delivery along the selected route path remained unaddressed.A hybrid opportunistic and position-based routing protocol was developed in [9] for finding the optimal neighboring nodes to transmit the data with minimum delay. But the routing stability was not achieved.…”

mentioning

confidence: 99%

Margin Boost Clustering based Multivariate Dolphin Swarm Optimization for Routing and Reliable Data Dissemination in VANET

Radhika¹,

Bhuvaneswari²

2019

IJITEE

View full text Add to dashboard Cite

VANET is the Vehicular Ad hoc NETworks where the vehicle nodes communicate to others without any fixed infrastructure. Due to frequent topology changes, VANET suffers from challenges like routing and data dissemination between the vehicles. This research work develops an efficient technique called Mean shift Margin Boost Clustering Based Multivariate Dolphin Swarm Optimized Routing (MMBC-MDSOR) technique for improving the routing and reliable data dissemination in VANET. A mean-shift margin boost clustering is an ensemble clustering technique to divide the total network into a number of groups. Each group comprises the number of vehicle nodes by the ensemble method uses the iterative Gaussian kernelized mean shifted clustering technique to assign each vehicle towards the closest cluster centroid based on the different stability parameters such as vehicles density, direction, distance and velocity to form a cluster head. By using cluster head, the data communication is controlled between vehicle nodes as well as the end to end delay is reduced. Multivariate Dolphin Swarm Optimized Routing (MDSOR) is the cluster based optimization to select the optimal cluster head based on fitness function in terms of distance, signal strength and bandwidth. Then the optimal route path between source to destination is identified to disseminate the messages. The designed MDSOR in MMBC-MDSOR increases the reliability, throughput and minimizes packet drop ratio. The above technique can be applied wherever there is high congestion on the road due to the failure of optimal link discovery and data distribution between the vehicles in emergency condition. The simulation result shows that the MMBC-MDSOR Technique can enhance the reliability, throughput and also minimizes the end to end delay and packet drop ratio in VANET as compared to state-of-the-art works

show abstract

Hybrid opportunistic and position-based routing protocol in vehicular ad hoc networks

Cited by 70 publications

References 34 publications

Dispersed Computing for Tactical Edge in Future Wars: Vision, Architecture, and Challenges

Dispersed Computing for Tactical Edge in Future Wars: Vision, Architecture, and Challenges

3DEOR: an opportunity routing protocol using evidence theory appropriate for 3D urban environments in VANETs

Margin Boost Clustering based Multivariate Dolphin Swarm Optimization for Routing and Reliable Data Dissemination in VANET

Contact Info

Product

Resources

About