Comprehensive analysis of routing protocols for the application layer of LTE

Tejaswini, G. N.; Manjunath, P S; Rao, G. Venkateswara; Hegde, Rajeshwari

doi:10.1109/wocn.2014.6923054

Cited by 2 publications

(4 citation statements)

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“…Throughput (TH) is defined as the amount of data (in terms of packets/ bits/ bytes) successfully delivered from the sender to the receiver per unit time. Throughput is considered as the important factor in case of streaming traffic [27][28][29][30] and computed using Equation (17).…”

Section: Performance Analysis Of the Proposed Approachmentioning

confidence: 99%

“…Delay (DL) is defined as the average time taken by a data packet to travel the distance between the sender and receiver. Delay plays an important role in case of interactive and conversational traffic [28][29][30] and given in Equation (18).…”

Section: Performance Analysis Of the Proposed Approachmentioning

confidence: 99%

Throughput=\frac{Amount\ ofdata\ delivered}{Time\ interval}

…”

Section: Performance Analysis Of the Proposed Approachmentioning

confidence: 99%

Delay=\frac{Total\ time\ taken\ by\ the\ data\ packets\ to\ reach\ destination\ }{Total\ number\ of\ packets\ received}

…”

Section: Performance Analysis Of the Proposed Approachmentioning

confidence: 99%

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Reducing unnecessary handovers and improving ranking abnormality based on multi‐attribute decision making graph theory and matrix approach with Euclidean distance in heterogeneous wireless networks

Kaur

Goyal

Mehta

2023

Concurrency and Computation

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SummaryNew mobile devices offer multiple network interfaces to allow the users to connect to the best available network. The heterogeneous networks can provide better internet connectivity to the users by means of vertical handover. The handover must be triggered at a suitable point of time to avoid mobility issues such as unnecessary handovers and handover ping‐pongs. The network selection during handover is usually done using classical multi‐attribute decision making (MADM) methods. However, ranking abnormality is one of the prominent issues of the classical MADM methods. To address these challenges, a graph theory and matrix approach (GTMA) with Euclidean distance is proposed for vertical handover in wireless networks. GTMA is used for the selection of the appropriate network and Euclidean distance is utilized for the handover triggering. The simulation results reveal that the proposed method has eliminated the ranking abnormality issue. This proposed technique without triggering has also reduced the number of handovers up to 75.61%, 85.71%, and 66.67% as compared to the traditional MADM methods such as AHP, GRA, and TOPSIS respectively. The use of Euclidean distance for handover triggering has further reduced the number of handovers of the proposed technique as well as traditional techniques for all the traffic types.

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