Multicriteria Based Next Forwarder Selection for Data Dissemination in Vehicular Ad Hoc Networks Using Analytical Network Process

Latif, Shahid; Mahfooz, Saeed; Jan, Bilal; Ahmad, Naveed; Farman, Haleem; Khan, Murad; Javed, Huma

doi:10.1155/2017/4671892

Cited by 24 publications

(16 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our daily and professional life, we are in front of making the right decisions. MCDA [16,17] represents an important science that allows making decisions. It is exploited in different fields such as economics, mathematics, and social science.…”

Section: Multicriteria Decision Analysis (Mcda)mentioning

confidence: 99%

Efficient Routing Approach Using a Collaborative Strategy

Aziz

Aznaoui

2020

Journal of Sensors

View full text Add to dashboard Cite

Wireless sensor networks (WSNs) are a huge number of sensors, which are distributed in area monitoring to collect important signals. WSNs are widely used in several applications such as home automation, environment, and healthcare monitoring. However, most of these applications face various difficulties due to sensor design. Therefore, the major challenge of designing WSNs is saving the energy consumed during communication and extending the network lifetime. Multicriteria Decision Analysis (MCDA) methods have been exploited for saving network energy. However, the majority of researches focus on the Cluster Head (CH) selection. In this paper, we aim to enhance the process of forwarder selection using an efficient combined multicriteria model. The proposed scheme improved the intercluster communication by controlling the distance separating CHs from the sink node. To minimize the cluster density, this work consists of activating only sensor nodes that detect enough strong signals. The activation phase presents a fault-tolerant technique to succeed in the communication process. Moreover, the proposed work is aimed at selecting the most efficient hops, which are responsible for routing data to the sink using the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. Simulation results proved that our new protocol maximized the residual energy by 15% and 25% and the network lifetime by 35% and 47% compared to the Distributed Clustering Protocol using Voting and Priority (DCPVP) and Low-Energy Adaptive Clustering Hierarchy (LEACH), respectively.

show abstract

Section: Multicriteria Decision Analysis (Mcda)mentioning

confidence: 99%

Efficient Routing Approach Using a Collaborative Strategy

Aziz

Aznaoui

2020

Journal of Sensors

View full text Add to dashboard Cite

show abstract

“…But the clustering based data transmission was not performed to provide a stable connection between the vehicles in the network.A Clustering algorithm based on Ant Colony Optimization (ACO) technique was introduced in [14] to choose the near optimal node for data transmission. The designed technique failed to consider the more objective functions for optimal route path findings for data transmission.In [15] an Analytical Network Process (ANP) was employed as a multicriteria decision tool to choose the optimal next forward vehicle for data dissemination. The method minimizes the latency but the reliable data dissemination was not performed.…”

Section: Related Workmentioning

confidence: 99%

“…(14) In (14), denotes a bandwidth availability between the cluster head node, represents the total bandwidth, denotes an overall consumed bandwidth. Based on the estimation, the fitness is calculated as follows, (15) In (15), denotes a fitness, represents the distance, denotes a received power, represents the threshold for received signal strength, denotes a bandwidth availability, represents the threshold of bandwidth availability.…”

Section: Fig 3 Beacon Message Distribution Between the Clustersmentioning

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

“…In literature, different approaches are used to achieve the objective using different techniques such as the analytical network process (ANP) and analytical hierarchy process (AHP). In this paper, the ANP is used as it is widely used in literature in different fields such as software engineering, wireless sensor network (WSN), VANETS, and resource management [26][27][28][29]. In software engineering, an ANP is used for software component selection.…”

Section: Multicriteria Decision-makingmentioning

confidence: 99%

Multicriteria‐Based Location Privacy Preservation in Vehicular Ad Hoc Networks

et al. 2018

Self Cite

View full text Add to dashboard Cite

.Vehicular ad hoc networks (VANETs) are the preferable choice for Intelligent Transportation Systems (ITS) because of its prevailing significance in both safety and nonsafety applications. Information dissemination in a multihop fashion along with privacy preservation of source node is a serious but challenging issue. We have used the idea of the phantom node as the next forwarder for data dissemination. The phantom node (vehicle) hides the identity of actual source node thus preserving the location privacy. The selection of the phantom node among the set of alternatives' candidate vehicles is considered as a multicriteria-based problem. The phantom node selection problem is solved by using an analytical network process (ANP) by considering different traffic scenarios. The selection is based on different parameters which are distance, speed, trust, acceleration, and direction. The best alternative (target phantom vehicle) is selected through an ANP where all the alternatives are ranked from best to worst. The vehicle having maximum weight is considered to be the best choice as a phantom node. In order to check the stability of the alternatives' ranking, sensitivity analysis is performed by taking into account different traffic scenarios and interest level of candidate vehicles.

show abstract

Multicriteria Based Next Forwarder Selection for Data Dissemination in Vehicular Ad Hoc Networks Using Analytical Network Process

Cited by 24 publications

References 30 publications

Efficient Routing Approach Using a Collaborative Strategy

Efficient Routing Approach Using a Collaborative Strategy

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

Multicriteria‐Based Location Privacy Preservation in Vehicular Ad Hoc Networks

Contact Info

Product

Resources

About