Quality-of-service-enabled ant colony-based multipath routing for mobile ad hoc networks

Krishna, P. Venkata; Saritha, V.; Vedha, G.; Bhiwal, Akhil; Chawla, Amardeep Singh

doi:10.1049/iet-com.2010.0763

Cited by 53 publications

(16 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand many of them are application dependent so there is a need to design an adaptive protocol. The proposed algorithm QoS enabled ant colony based multipath routing [1] provides this feature in which a path is chosen out of multiple paths by path preference probability. Route establishment and communication between mobile nodes is carried by ant like agents such as forward ants (FANT) and backward ants (BANT).…”

Section: Proposed Algorithmmentioning

confidence: 99%

“…Different parameters such as delay, bandwidth, and next hop availability (NHA) [1] [2] are calculated to find path preference probability. These parameters are required to maintain QOS by checking different performance matrices such as throughput, delay, packet delivery ratio etc.…”

Section: Proposed Algorithmmentioning

confidence: 99%

“…Let the source node A has data to send to a destination D without any data loss and delay. First node A broadcasts Hello message to all the nodes by sending FANTs [1]. By means of HELLO neighboring nodes are discovered.…”

Section: A Route Exploration Phasementioning

confidence: 99%

“…3) End to end delay-It is a time required for packets to reach to destination node from source node The results given below are examined by P. Venkata Krishna [1] which shows QAMR protocol performs better than AODV and ARMAN protocol. It shows the effect of mobility of nodes on packet delivery ratio.…”

Section: B Route Safeguarding Phasementioning

confidence: 99%

“…6. Effect of nodes on PDR [1] Fig. 6. shows that packet delivery ratio increases as number of nodes increased.…”

Section: B Route Safeguarding Phasementioning

confidence: 99%

See 4 more Smart Citations

Ant colony optimization algorithm based an intelligent protocol to improve QoS of MANETs

Metri¹,

Agrawal²

2014

2014 International Conference on Circuits, Systems, Communication and Information Technology Applications (CSCITA)

View full text Add to dashboard Cite

Mobile ad hoc network(MANET) is an autonomous and self configuring system connected by wireless links. It is a collection of mobile nodes and is widely used where network establishment is challenging. Wireless ad hoc network makes available multiple paths for data transmission, but it is necessary to choose most efficient path and provide better Quality of Service (QoS). Due to frequent movement and formation of dynamic connections in MANET, it is challenging to maintain quality of service. This QoS is inspected using performance matrices such as end to end delay, bandwidth, throughput, probability of packet loss, delay variance (jitter) etc. Here a new protocol QAMR is introduced based on ant colony optimization algorithm which provides plausible path out of multiple paths for data transmission. This algorithm is scalable, adaptive and efficient. The performance is evaluated using network simulator.

show abstract

Section: Proposed Algorithmmentioning

confidence: 99%

Section: Proposed Algorithmmentioning

confidence: 99%

Section: A Route Exploration Phasementioning

confidence: 99%

Section: B Route Safeguarding Phasementioning

confidence: 99%

“…6. Effect of nodes on PDR [1] Fig. 6. shows that packet delivery ratio increases as number of nodes increased.…”

Section: B Route Safeguarding Phasementioning

confidence: 99%

See 3 more Smart Citations

Ant colony optimization algorithm based an intelligent protocol to improve QoS of MANETs

Metri¹,

Agrawal²

2014

2014 International Conference on Circuits, Systems, Communication and Information Technology Applications (CSCITA)

View full text Add to dashboard Cite

show abstract

Ant‐inspired level‐based congestion control for wireless mesh networks

Reddy

Krishna

2014

Int J Communication

Self Cite

View full text Add to dashboard Cite

Summary The ever increasing presence of services over wireless networks utilizing large bandwidth necessitates the constant quest for developing efficient and dependable services, capable of providing support to a wide and variety of applications. Wireless mesh networks can provide such reliable and scalable solutions addressing the requirements of the services utilizing large bandwidth. The current focus is on the interesting and challenging issue of channel access for different services with assured bandwidth guarantees. The problem of bandwidth, constantly encountered by the wireless mesh networks, is studied in this paper with due thrust on the issues pertaining to congestion control mechanisms. A novel ant colony‐based approach called ant‐inspired level‐based congestion control (AILCC) is developed in order to effectively manage the issues of bandwidth. The versatility of the AILCC includes its capacity for service differentiation in addressing a range of requests, such as applications of real‐time and nonreal‐time. The primary focus of AILCC is on providing an efficient congestion control mechanism that can meet numerous bandwidth demands of various applications. The performance of AILCC in terms of the ratio of packet delivery and end‐to‐end delay is evaluated through relevant simulations. The results obtained demonstrate greater levels of performance of AILCC over the other methods in existence. Copyright © 2014 John Wiley & Sons, Ltd.

show abstract

Efficient channel assignment method for multimedia traffic in wireless mesh networks

Pounambal

Krishna

2015

Int J Communication

View full text Add to dashboard Cite

SUMMARYIn wireless mesh networks, the availability of spectrum should be utilized efficiently because the exchanging of traffic rate of multimedia applications is increasing day to day. The traffic of multimedia content may degrade the network performance in terms of high packet loss and throughput degradation because of asynchronous behavior between the sender and the receiver. The proposed Efficient Channel Reservation and Assignment (EchRA) results in successful originating and handing off of multimedia call transmissions using the four dimensional Markov chain process. The EChRA algorithm, proposed in this paper, achieves the maximum throughput performance considering the parameters of blocking probability, dropping probability, and synchronized dwell time between the source and destination. The quality of service is guaranteed by sharing the available slots and by using efficient queuing model to service the incoming and handoff calls, and henceforth, the successful completion of handoff calls rate is increased.

show abstract

Quality-of-service-enabled ant colony-based multipath routing for mobile ad hoc networks

Cited by 53 publications

References 22 publications

Ant colony optimization algorithm based an intelligent protocol to improve QoS of MANETs

Ant colony optimization algorithm based an intelligent protocol to improve QoS of MANETs

Ant‐inspired level‐based congestion control for wireless mesh networks

Efficient channel assignment method for multimedia traffic in wireless mesh networks

Contact Info

Product

Resources

About