Hybrid Cache Management in Ad Hoc Networks

Krishnan, C. Gopala; Robinson, Y. Harold; Julie, E. Golden; Bamini, A. M. Anusha; Kumar, Raghvendra; Thong, Pham Huy; Sơn, Lê Hoàng

doi:10.1007/s11277-021-08158-z

Cited by 4 publications

(3 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A problem with this approach is that it does not quantify the routes based on reliability and prioritize them for routing. The packet loss in wireless multicast was also reduced by using cooperative communications [6]. On observation of packet loss, a node attempts to recover by cooperating with neighbour nodes.…”

Section: Literature Reviewmentioning

confidence: 99%

Hybrid strategy for reliable packet transfer and packet loss reduction in cognitive radio Ad-Hoc Network

Reddy¹,

Subramanyam²,

Reddy³

2021

IJATEE

View full text Add to dashboard Cite

The proposed solution adopts two strategies of retransmission and reconstruction to compensate for the packet loss due to unexpected link failures and congestion. Reconstruction is given higher preference compared to retransmission in mitigating packet loss. Sufficient redundancy is built into packet for reconstruction. Cooperative caching at secondary user (SU) is done to avoid the hop count for retransmission Re search Article

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Hybrid strategy for reliable packet transfer and packet loss reduction in cognitive radio Ad-Hoc Network

Reddy¹,

Subramanyam²,

Reddy³

2021

IJATEE

View full text Add to dashboard Cite

show abstract

“…In the 90's and 80's, innovations in two areas of technology helped create fingerprint-like tools in flawless applications such as personal computers, optical scanners and identity card programs. In the late 1990s, the introduction of low-priced fingerprint capture devices and the comprehensive emergence of speedy and consistent corresponding algorithms locate the phase for creating fingerprint matches for own utilization [10][11][12][13][14].…”

Section: Related Workmentioning

confidence: 99%

Machine Learning Techniques for Biometric Fingerprint Recognition Using the Magnitudes to Provide Privacy and Integrity

Krishnan

Robinson

Julie

et al. 2021

Studies in Big Data

View full text Add to dashboard Cite

Fingerprint authentication refers to the unique or authentication mechanism that authenticates the identity of the public or non-public who support the comparison of two fingerprints. Fingerprint authentication is primarily one of the well-known life sciences, and it is outside the biometric account authentication primarily used in processed computers. Reasons for Fingerprint Recognition: The common unit is the ease of acquisition, established use and acceptance compared to a completely different life sciences, and it has been proven that each unit has different (ten) sources of this biometric. With the increase in online communication and transactions, the need for security and privacy will increase. There are a number of solutions already in use for securing the product and certifying people electronically. Once the science of life is used, it always sparks a debate about privacy and integrity. One of the main reasons for this is that the fingerprints of the criminal unit control the police records. This work will check for advanced alternatives that will replace the less secure ancient methods of logging into computers. The benefits of using this technology in aging secrecy, tokens or open-end credit technology will appear a lot and obviously will set the stage for facing the security and authentication challenges of the twenty-first century.

show abstract

“…Nevertheless, the existing collaborative caching approaches in MANETs have drawbacks in term of achieving low hit ratio, high delay due to a number of pending queries. This is a consequence of serving queries based on hop by hop forwarding as in Artail et al (2008) , Cao, Yin & Das (2004) , Chand, Joshi & Misra (2007a) , Chand, Joshi & Misra (2007b) , Du & Gupta (2005) , Umamaheswari & Radhamani (2015) , Abbani & Artail (2015) , El Khawaga, Saleh & Ali (2016) , Ting & Chang (2013) , Larbi, Bouallouche-Medjkoune & Aissani (2018) and Delvadia & Dutta (2022) , and broadcast or flooding messages as in Denko (2007) , Du, Gupta & Varsamopoulos (2009) , Tian & Denko (2007) , Ting & Chang (2007) , Chand, Joshi & Misra (2007b) and Krishnan et al. (2021) .…”

Section: Introductionmentioning

confidence: 99%

Collaborative caching discovery management in mobile ad hoc networks environments

Alshahrani

Elfaki

Ibrahim

et al. 2023

PeerJ Computer Science

View full text Add to dashboard Cite

Accessing distant data items in mobile ad hoc networks (MANETs) environments pose a huge challenge due to mobility and resource constraints. A number of research studies have been developed to enhance data accessibility and decrease the number of pending queries. A collaborative caching technique is considered as an efficient mechanism to increase data accessibility and decrease the latency which in turn reduces the pending queries. However, the processing queries that based on their classifications along with distributed indexing have not been tackled in previous works to reduce the number of pending queries and increase the number of replied queries. A collaborative caching discovery which based on service providers (CCD) is proposed in this article, which process requests depending on their status either priority or normal. This ensures that the number of pending queries is reduced with minimum cache discovery overhead. The results of the experiment reveal that the proposed strategy increased collaborative caching discovery efficiency and outperformed the cooperative and adaptive system (COACS) in terms of increasing the number of replied queries and reduction of the pending queries by 24.21 percent.

show abstract

Hybrid Cache Management in Ad Hoc Networks

Cited by 4 publications

References 31 publications

Hybrid strategy for reliable packet transfer and packet loss reduction in cognitive radio Ad-Hoc Network

Hybrid strategy for reliable packet transfer and packet loss reduction in cognitive radio Ad-Hoc Network

Machine Learning Techniques for Biometric Fingerprint Recognition Using the Magnitudes to Provide Privacy and Integrity

Collaborative caching discovery management in mobile ad hoc networks environments

Contact Info

Product

Resources

About