EDA-AODV: Energy and Distance Aware “AODV” Routing Protocol

Ryan, Mohamed A.; Nouh, Sayed; Salem, Tarek M.; Naguib, Abdelhady

doi:10.22247/ijcna/2018/49518

Cited by 3 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[23][24][25]45,46 Enhanced weight-based clustering algorithms are used for pointing the region in the network. 50,[56][57][58][59][60] Fourfold cross validation is used during the prediction process. The completion simulation is run 100 times and the average of the results is considered as the resultant performance.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Evaluation parameters such as the delivery rate of warning message, mean processing rate of request verification, rate of awareness, end‐to‐end delay, channel utilization, rate of localization and percentage of localization error are determined for different vehicle densities, number of NLOS and reference nodes and elapsed time for quantifying the potential of the proposed scheme as a significant NLOS positioning scheme as suggested in previous studies 23–25,45,46 . Enhanced weight‐based clustering algorithms are used for pointing the region in the network 50,56–60 . Fourfold cross validation is used during the prediction process.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A Hybrid Crow Search and Gray Wolf Optimization Algorithm‐based Reliable Non‐Line‐of‐Sight Node Positioning Scheme for Vehicular Ad hoc Networks

Malar¹,

Priya²,

Janakiraman³

2020

Int J Communication

View full text Add to dashboard Cite

Summary Vehicular Ad hoc NETwork (VANET) facilitates ubiquitous connectivity for establishing Vehicle‐to‐Vehicle (V2V) communication and supporting Intelligent Transportation Systems (ITSs). This vehicle communication requires complete coverage within the target range for ensuring reliable message dissemination. High density of vehicles in the intersections introduces challenges due to obstacles such as buildings, foliage, and other moving vehicles, preventing exchange of information about location and message update between vehicles. Non‐Line‐of‐Sight (NLOS) nodes also introduce broadcasting storm problem leading to congestion that prevents emergency messages from reaching the target vehicular nodes. Integration of meta‐heuristic Crow Search Algorithm (CSA) and Gray Wolf Optimization Algorithm (GWOA) minimizes the objective function of NLOS localization problem without the solution being trapped into local optima. In this paper, a Hybrid Crow Search and GWOA‐based NLOS Positioning Scheme (HCSGWOA‐NLOS‐PS) is proposed to handle the issue of broadcast storm and facilitate reliability in emergency message delivery. The proposed HCSGWOA‐NLOS‐PS utilizes the benefits of Time of Arrival (ToA) and geographical information‐based cooperative localization agent for attaining efficient NLOS node positioning in the network. It uses the benefits of CSA and GWOA for positioning the NLOS nodes based on the intelligence derived from the crows' conduit and the social attacking behavior of gray wolves that are ideal for balancing the tradeoff between exploration and exploitation. The simulation results of the proposed HCSGWOA‐NLOS‐PS confirm a mean emergency message delivery of 11.82%, neighborhood awareness of 12.38% with reduced localization error rate of 2.36% and minimized delay of 8.64% when compared to the baseline approaches.

show abstract

Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Simulation Results and Discussionmentioning

confidence: 99%

A Hybrid Crow Search and Gray Wolf Optimization Algorithm‐based Reliable Non‐Line‐of‐Sight Node Positioning Scheme for Vehicular Ad hoc Networks

Malar¹,

Priya²,

Janakiraman³

2020

Int J Communication

View full text Add to dashboard Cite

show abstract

“…But this protocol is failed to evaluate delay between each nodes and end to end delay along a given path for the route metrics. In [12], a new enhanced routing protocol has been designed for path selection depending on two main metrics: node energy factor and node distance from its transmitting predecessor node. According to the assumption node energy factor has been used as a metric to prolong life time of selected route, while the distance is being used as a metric to obtain stable route with relatively minimum hop counts in addition to minimizing routing control packets.…”

Section: [2] Related Workmentioning

confidence: 99%

Efficient-Path Selection Scheme Using Optimized Adhoc on Demand Multipath Routing Protocol For Adhoc Networks

Kitaw¹,

Bayu²,

Birhanu³

2020

IJANA

View full text Add to dashboard Cite

Mobile Adhoc Networks are used in various areas each of which has its own set of requirements. In this paper we concentrate on application areas which require fast data delivery, less delay and high availability of the network. Fast delivery and less delay concepts are related to the relative position and status of nodes (links) while network availability is a direct cost of overall network lifetime. Our focus here is on developing a network layer strategy, i.e. one that uses routing protocols. For MANET, in some applications packets become useless as a result of delay and distance between nodes. Hence it is required to design Efficient-Path selection scheme using optimized ondemand Multipath routing protocol with goals of improving throughput, delay and data delivery. With this our new approach we are going to evaluate the performance of our protocol against the traditional AOMDV. The practical simulation is done using NS2 network simulator.

show abstract

“…Mohamed A. Ryan et al [42] proposed a new routing approach based on the energy and distance aware AODV (EDA-AODV) to reduce the routing overhead, prolong the lifetime and also to reduce the hop counts. In this approach, the route is selected based on two different metrics such as transmitting distance between the node and its predecessor node and the energy factor.…”

Section: Reactive Based Approachesmentioning

confidence: 99%

A Parametric Oriented Research on Routing Algorithms in Mobile Adhoc Networks

Shailaja*,

Rao,

Nagaraju

2019

IJITEE

View full text Add to dashboard Cite

Due to the infrastructure-less and no central administration architecture, Mobile Adhoc Networks (MANETs) gained significant interest in various wireless information transfer related applications. However, the selection of an optimal path to transmit the data is a more critical issue in MANETs because the nodes are resource-constrained and also have mobility. To provide an optimal solution to this constraint, various methods are proposed in earlier. Initially, some basic routing protocols are developed and further by modifying the base protocols so many strategies are developed. The proposed Research paper outlines a detailed survey about the earlier developed such strategies and also done a fined classification based on the methodology they followed. Broadly the comprehensive routing approaches are classified into two classes, namely single metric-based approaches and multiple metricsbased approaches. The further classification is done based on the routing protocol used at the base. Due to the widespread utilization of meta-heuristic algorithms, some authors used those techniques also in the discovery of an optimal path and some approaches are outlined in this paper. Moreover, at every phase, a fine and detailed comparison is shown through various constraints.

show abstract

EDA-AODV: Energy and Distance Aware “AODV” Routing Protocol

Cited by 3 publications

References 0 publications

A Hybrid Crow Search and Gray Wolf Optimization Algorithm‐based Reliable Non‐Line‐of‐Sight Node Positioning Scheme for Vehicular Ad hoc Networks

A Hybrid Crow Search and Gray Wolf Optimization Algorithm‐based Reliable Non‐Line‐of‐Sight Node Positioning Scheme for Vehicular Ad hoc Networks

Efficient-Path Selection Scheme Using Optimized Adhoc on Demand Multipath Routing Protocol For Adhoc Networks

A Parametric Oriented Research on Routing Algorithms in Mobile Adhoc Networks

Contact Info

Product

Resources

About