Dynamic core multicast routing protocol implementation using ANT colony optimization in ad hoc wireless networks

Mangai, S.; Tamilarasi, A.; Venkatesh, C.

doi:10.1109/icccnet.2008.4787711

Cited by 8 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, the nodes are formed into clusters and efficient packet transmission has been done between nodes with respect to the location and position of the nodes. In a distinctive way, Ant Colony Optimization (ACO) has been incorporated in Mangai et al 16 for implementing Dynamic Core based Multicast Routing Protocol (DCMP) in ad hoc networks. ACO algorithm is induced to determine the shortest path between vehicular nodes, as the ants find optimal route to reach their foods.…”

Section: Related Workmentioning

confidence: 99%

Retracted: A smart transportation system in VANET based on vehicle geographical tracking and balanced routing protocol

Kandasamy¹,

Mangai²

2021

Int J Communication

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Related Workmentioning

confidence: 99%

Retracted: A smart transportation system in VANET based on vehicle geographical tracking and balanced routing protocol

Kandasamy¹,

Mangai²

2021

Int J Communication

Self Cite

View full text Add to dashboard Cite

show abstract

“…The nearby node will find whether this core node can support or not by checking this flag. The request to the nearby source nodes to the core is being prevented by unwarranted requests [92], [93].…”

Section: Dynamic Core Based Multicast Routing Protocol (Dcmp)mentioning

confidence: 99%

Multicast Routing Protocols for Mobile ADHOC Networks

Sabaresan,

Winster

2019

IJEAT

View full text Add to dashboard Cite

Mobile Ad-hoc Networks (MANETs) is a selfconfiguring network that doesn’t follows any predetermined infrastructure. In MANETs there are collections of independent nodes which are associated through wireless and at the same instance it is allowed to change its links to other nodes frequently without any fixed infrastructure. Multicast routing is concurrently sending a message from single source to several destinations and it is an efficient approach to establish the communication between groups of nodes in the wireless network. Multicast routing plays very important roles in the fields of video conferencing, co-operative works, distance education, video on demand, cyber database updating and querying, etc. These applications can provide themselves to manage multicast operations. Almost all different type of multicast routing algorithms in MANETs are facing various issues like limited bandwidth, possibility packets loose, delay variance, energy consumption and transmission overhead problem. There are several multicast routing protocol has been proposed to overcome the challenges of multicast routing and play very significant roles in the current scenario. Nowadays, dissimilar multicast routing algorithms with unique characteristic have been introduced. In this paper complete survey on multicast routing algorithm to highlight their advantages, limitation and also show the future direction in multicast routing in MANETs.

show abstract

“…Through multiple cores, large-scale Distributed Virtual Environment can be supported. Mangai et al [32] has extended the performance of dynamic core-based multicast routing protocol using the ant-based approach. Lee and Chang [33] proposed ad hoc network multicasting with ant system using ACO to obtain dynamic topology change information and to generate safer multicasting paths for the multicast structure, core-based tree.…”

Section: Ant Colony Optimization In Telecommunicationsmentioning

confidence: 99%

An ant colony‐based, receiver‐initiated multicast mesh protocol for collaborative applications of mobile ad hoc networks

Deepalakshmi

Radhakrishnan

2012

Trans. Emerging Tel. Tech.

View full text Add to dashboard Cite

Mobile ad hoc (ODMRP), another mesh‐based multicast approach for mobile ad hoc networks in two scenarios, namely typical scenario and collaborative scenario. The simulation is carried out in NS‐2 and comparison is conducted for the metrics packet delivery ratio, group reliability ratio, and end‐to‐end average delay by varying node mobility and by increasing number of senders in each group. From the results, we observed that the proposed protocol performs well in all cases. Especially for collaborative scenarios in which number of senders is high within the group, RIMM outperforms ODMRP. Also, we observed that probability of reaching multicast members within the mesh is always high for RIMM than for ODMRP. For certain simulations, we compared RIMM with other receiver‐initiated mesh‐based multicast approaches namely Protocol for Unified Multicasting through multicast Announcement and an ant‐based method called Multicast for Ad Hoc Networks with Swarm Intelligence and found that RIMM has better packet delivery ratio and comparable control overhead. Copyright © 2012 John Wiley & Sons, Ltd.

show abstract

Dynamic core multicast routing protocol implementation using ANT colony optimization in ad hoc wireless networks

Cited by 8 publications

References 22 publications

Retracted: A smart transportation system in VANET based on vehicle geographical tracking and balanced routing protocol

Retracted: A smart transportation system in VANET based on vehicle geographical tracking and balanced routing protocol

Multicast Routing Protocols for Mobile ADHOC Networks

An ant colony‐based, receiver‐initiated multicast mesh protocol for collaborative applications of mobile ad hoc networks

Contact Info

Product

Resources

About