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Optimized local call routing

Authors: R. Siva Karthik; S. B. Prapulla; G. Shoba;

Optimized local call routing

Abstract

The smartphone industry has gained a large user base since the digital revolution. Due to this, even the Telecommunication operators have had a surge in customers. This has led to call tariffs being decided by the operators and frequently users end up paying for more than what they have used. This research paper explores the option of local call routing using femtocells instead of routing the call through a switching center that belongs to a licensed operator. It has been statistically verified that using VoIP based systems based on the Session Initiation Protocol is very efficient in cutting down costs. Gartner predicts that SIP trunking services can slash enterprise telecommunications expenses by up to 50 percent. It is estimated that VoIP systems can reduce initial startup costs to new businesses by up to 90 percent. The Session Initiation Protocol is the ideal candidate for efficient implementation of VoIP-based systems. The general idea being portrayed here is that the traffic generated in a network does not leave the network and terminates in a host within the same network. This ensures that the overhead to reach an operator is minimized. A call manager, specific to VoIP packets, may be developed to address hosts and efficiently route video and audio traffic in between them. Textual data can also be exchanged. This proves very useful during disaster relief as it is possible to set up such systems with relative ease.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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