Detailed Report on Intelligent Network Architecture and Applications

This report provides an overview of Intelligent Network (IN) architecture, tracing its origins to Bell Communications Research and its evolution through standards like IN CS-1 and AIN. It highlights the benefits of IN, including enhanced service capabilities, rapid service introduction, service customization, vendor independence, and local number portability. The report also discusses how IN enables service providers to differentiate themselves, increase revenue, and improve service quality. Furthermore, it examines specific applications such as free phone services and premium rate services, demonstrating the practical uses of intelligent networks in modern telecommunications. Desklib offers a variety of study tools and solved assignments for students.

Running Head: Intelligence Network
Intelligence Network

Intelligence network 1
Intelligence Network is related to a telephone network architecture which is invented by
Bell Communications Research. In this, the service logic for a call is established from the
facilities like switching and also allows the services to be considered or changed without
redesigning the switching equipment. This is also considered as a service independent
telecommunications network. It is seen that it is taken out of the switch and inserted in the
computer nodes that are distributed in every network. Intelligent Network offers the network
operators with the aim to improve and control the services in an efficient manner. It is also
analyzed that there are new capabilities that can rapidly be introduced in the network (Gross,
Nagi, and Sambhoos, 2014).
If it is introduced then it is seen that the services can be easily customized to satisfy the
wants of the customers. The IN networks was established by Bell core company which is situated
in the US in the mid-80's. The idea was one of the achievements over there and also
manufacturers are present globally and especially in Europe, the development takes place in a
speedy way (Barnes, 2016).
Intelligent Network system allows the service providers to distinguish themselves from
the competitors who are prevailing in the market. Also, it is seen that there is an increase in the
revenue and also the quality is enhanced and the scope of services to the subscribers have
enhanced. It is seen that customization in services can take place for each and every user and
also end users can maintain their services by taking into consideration reconfiguration with the
help of telephones or PC workstations. It is seen that intelligent network system can abide by the
interfaces of the services and also the service providers are less connected to analyze themselves
with the suppliers.
The intelligent network focuses more on separating the core intelligence and the
information for maintaining the services from the shifting of the elements. This separation that
takes place give result in optimization of the overall software and also allow the developers and
operators to consider value-added network and also the services of the subscribers like optimal
routing, voice mail, forwarding off the calls and also calling done through conferencing. These
services help to translate into the enhanced network capacity and revenue while enhancing the
overall satisfaction level of the customers and enhancing the subscriber base.

Intelligence network 1
In the recent scenario, there are two types of intelligent networks. One is created by ITU
and is known as IN CS – 1 which is known as Capability Set 1. This is also one of the
international Intelligence network standards. Also, it is known as the international network
standard. Next one is related to the Advanced Intelligent Network, AIN which has been
consistent over the last 15 years by Bellcore in the United States (Mellers et al., 2015).
The advantage of an intelligent network is the capacity to enhance the services which
exist and also it is important to create new revenue sources. It is seen to meet the overall
objectives the providers need the capability to introduce the services which are new in a speedy
way. Intelligence network offers the capability to the new services or to bring change in the
existing services in the overall network with the intervention in a physical state (Walczak, 2016).
The next benefit is related to offer service Customization. The service providers also have
the ability to bring change in the service logic in a speedy way and also in an efficient manner.
Customers also want to have control over their own services so that the wants of the individual
can be satisfied. The next benefit is related to establish the independence of the vendor. Service
providers take into consideration the major criteria in which the service provider develop the
software quickly and also in an inexpensive method. To achieve this suppliers have to integrate
the commercially available software so that applications can be created which is necessary for
the service providers (Rotolo et al., 2017).
The next benefit is related to create open interfaces. Open interfaces hive permission to
the service providers to introduce the elements of the network in a speedy way for individualized
services of customers. It is seen that software should be an interface with the products of the
vendor and also the standards should be maintained with the operations standards. The provider
of the service does not rely on one or two vendors to offer equipment and software so that need
of the customers can be satisfied. The last benefit is related to local number portability.
Intelligent networking appears as a tailor-made for the number which is local and also it
has a relation with the portability service data that allow for quick number portability. It can be
considered to centrally deploy the local number portability from each and every service control
points that are used as a network in offering services to the entire network (Clark, 2016).

Intelligence network 1
The intelligent network is one of the reliable solutions to fulfill the federal
communication commission. Intelligent working helps a wireless handset to be considered as a
cordless phone and also the rates are charged according to the landline. The intelligent network
services help to allow for easy customization of a service and also it strengthens the LEC's
competitive edge as the offering is given in the specific market. If the intelligent network
infrastructure is deployed only for the numbers which are local then the incremental cost of
installing the intelligent network services is minimized (Wright, 2014).
There are various examples in which the uses of services are developed. Like for free
phone, it is related to the intelligence network which is offered and it is considered by the
companies who need to giving advertisement of the services by giving an advantage to their
consumers for make calls of free of cost. Next is premium rate service in which the calls are
charged at a higher cost than for the normal cells (Shanmuganathan and Samarasinghe, 2016).
The services are used to connect with the information services that are given by the service
providers. For instance: dating services and horoscopes.

Intelligence network 1
References
Barnes, A., 2016. Making intelligence analysis more intelligent: Using numeric
probabilities. Intelligence and National Security, 31(3), pp.327-344.
Clark, R.M., 2016. Intelligence analysis: a target-centric approach. CQ press.
Gross, G., Nagi, R. and Sambhoos, K., 2014. A fuzzy graph matching approach in intelligence
analysis and maintenance of continuous situational awareness. Information Fusion, 18, pp.43-61.
Mellers, B., Stone, E., Atanasov, P., Rohrbaugh, N., Metz, S.E., Ungar, L., Bishop, M.M.,
Horowitz, M., Merkle, E. and Tetlock, P., 2015. The psychology of intelligence analysis: Drivers
of prediction accuracy in world politics. Journal of experimental psychology: applied, 21(1), p.1.
Rotolo, D., Rafols, I., Hopkins, M.M. and Leydesdorff, L., 2017. Strategic intelligence on
emerging technologies: Scientometric overlay mapping. Journal of the Association for
Information Science and Technology, 68(1), pp.214-233.
Shanmuganathan, S. and Samarasinghe, S. eds., 2016. Artificial neural network modelling (Vol.
628). Springer.
Walczak, S., 2016. Artificial Neural Networks and other AI Applications for Business
Management Decision Support. International Journal of Sociotechnology and Knowledge
Development (IJSKD), 8(4), pp.1-20.
Wright, S. ed., 2014. Competitive intelligence, analysis and strategy: Creating organisational
agility. Routledge.