Survey of Cluster Based Routing Protocols in Mobile Adhoc Networks

Anupama, M.; Sathyanarayana, Bachala

doi:10.7763/ijcte.2011.v3.414

Cited by 39 publications

(18 citation statements)

References 1 publication

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“…Three major classifications, to which six subclasses are associated, are found in the literature. [20][21][22] On the basis of this classification, we attempt to provide a comprehensive literature review concerning clustering methods in VANET.…”

Section: Classification Of Clustering Algorithmsmentioning

confidence: 99%

Cluster‐based emergency message dissemination strategy for VANET using V2V communication

Benkerdagh

Duvallet

2019

Int J Communication

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Data dissemination in vehicular ad hoc network (VANET) is emerging as a critical area of research. One of the challenges posed by this domain is the reliability of connection, which depends on many parameters, such as the bandwidth consumption, transmission delay, and data quality of service (QoS). Dissemination of emergency messages is very critical since the network topology is changing frequently and rapidly, which leads to data loss. So, it is necessary to develop new protocols and enhance dissemination schemes in VANET to avoid more emergencies and hazards cases. In this regard, we have proposed a new strategy, which consists of data handling before dissemination process as the first step of our scheme. In this phase, the original message is optimized in order to reduce the number of exchanged packets. The second part of this proposition consists of constructing fast and stable clusters to improve the message delivery time and to procure efficient bandwidth consumption. This approach is based on a Fitness function, which takes into account different parameters such as the transmission period, the connectivity degree, the relative velocity, and the link lifetime validity. Since exchanging data in VANET is an important process, routing phase is proposed to perform data exchange among clusters. It is based on a rapid and real-time heuristic (real-time adaptive A* [RTAA*]). To evaluate the reliability of the proposed approach, an urban scenario is used with different simulation parameters. The simulation results show that our proposed approach presents a better stability and efficiency performance compared with the discussed approaches. The proposed approach improves the performance of cluster duration (5% − 25%), delivery rate (2% − 8%), and the overhead (5% − 35%) on average compared with the discussed approaches. KEYWORDS clustering algorithm, data dissemination, Fitness function, quality of service, routing, transmission delay Int J Commun Syst. 2019;32:e3897.wileyonlinelibrary.com/journal/dac

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Section: Classification Of Clustering Algorithmsmentioning

confidence: 99%

Cluster‐based emergency message dissemination strategy for VANET using V2V communication

Benkerdagh

Duvallet

2019

Int J Communication

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“…It also communicates with other CHs. The Cluster based routing provides an answer to address nodes heterogeneity, and to limit the amount of routing information that propagates inside the network [2]. Clustering is one of the techniques used to manage data exchange amongst interacting nodes.…”

Section: Introductionmentioning

confidence: 99%

Trust based Cluster Computing in Ad hoc Network using Group Key Climbing and Chaining (GKC^2)

Vijayalakshmi¹,

Annadurai²

2013

IJCA

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Cluster computing in ad hoc network draws special attention among the research community as it mandates the usage of single bandwidth for many receivers associated with the group/cluster. Ad hoc network operational environment has incited the adoption of cluster computing as it innately assists its formation. Cluster computing in ad hoc network has undergone a paradigm shift in the deployment of community centric applications like multiparty video conferencing, multiplayer online video games, online software patch update and online auction etc. Clusters in ad hoc network collaborate with each other through trust based routing using group key GK. Cluster members in the group are in possession of three keys namely a private key for decryption, public key for encryption for one-one communication between the group members and the local group key (LGK) for corresponding with the group head and broadcasting the message to other peers.Group head handshakes with other group members using the established and recommended LGK. The global group key (G 2 K) possessed by each group head aids in inter group communication for encrypting the group message and the LGK for decrypting the enciphered group message. The inter collaboration between the clusters necessitates strong association among the group keys namely LGK and G 2 K triggering upscale/upward group communication through efficient group key climbing and chaining mechanism. The cluster key pool viz. the group key associated with the group head and the group member's key are established during the set up and connection phase that sustains until the clusters encounters one of these special conditions. Group head drifting from the cluster, a node joining/leaving to/from a cluster (forward and backward secrecy), compromised keys, and periodical key updates induces a rekey mechanism for the cluster. The storage, computation and communication complexity involved in key generation and exchange mechanism leverages trust based cluster routing in ad hoc network.

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“…However, the infrastructure less and dynamic natures render them more vulnerable to various types of security attacks than the wired networks. They have proposed a Secure Communication architecture based on "BBCMS" clustering algorithm [6]. In this algorithm elect cluster head (CH) according to its weight computed by combining a set of system parameters.…”

Section: Secure Communication Architecture Based Clustering Algorithmmentioning

confidence: 99%

Challenges and Issues of Cluster Based Security in MANET

Kulkarni¹,

N²

2016

IOSR

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Survey of Cluster Based Routing Protocols in Mobile Adhoc Networks

Cited by 39 publications

References 1 publication

Cluster‐based emergency message dissemination strategy for VANET using V2V communication

Cluster‐based emergency message dissemination strategy for VANET using V2V communication

Trust based Cluster Computing in Ad hoc Network using Group Key Climbing and Chaining (GKC^2)

Challenges and Issues of Cluster Based Security in MANET

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