A Review on Comparative study of 4G, 5G and 6G Networks

Kshirsagar, Pravin R.; Reddy, Dhoma Harshavardhan; Dhingra, Mallika; Dhabliya, Dharmesh; Gupta, Ankur

doi:10.1109/ic3i56241.2022.10073385

Cited by 11 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This requires us to choose the subset of packets that meets the constraint that the sum of their sizes does not exceed Q. [5,6,7] To estimate the network node's optimal packet processing capacity (OPPC) for a particular residual buffer size, one way that can be used in practise is to carry out all conceivable procedures while keeping them under Q bytes. This can be achieved with the help of the knapsack algorithm, which produces two arrays with multiple dimensions.…”

Section: Introductionmentioning

confidence: 99%

Infrastructure-Less Wireless Networks Employ Reactive Routing with Knapsack-Based Buffer Management

Sanjay

2023

cienc.eng.

View full text Add to dashboard Cite

Wireless infrastructure-less networks provide network resources independent of location. These networks are mobile, resource heterogeneous, peer-to-peer, self-forming, and adaptable. Health management, military, and disaster aid use such networks for reliable communication. These networks use routing to connect source and destination nodes and forward data packets. Network nodes' buffer sizes hinder efficient routing. We present a buffer-aware route-finding system that optimises nodes' packet processing based on their residual buffer size using the knapsack algorithm. Our buffer overflow-prevention method improves network performance. Using the NS-2 simulator, the suggested mechanism reduces packet loss, improving network performance. Our work proposes an effective routing protocol for wireless infrastructure-less networks that takes into account nodes' restricted buffer sizes. The proposed system could be used where efficient and reliable communication is needed.

show abstract

Section: Introductionmentioning

confidence: 99%