The traditional network providers are treated as dump pipe due to the poor bandwidth by the communication services. The growth of the internet brings revolution in the world of internetworking in the telecom industry. The IoT is capable of building secure communication links in creating new values for the telecom industry. The telecom industry is facing many challenges in in managing their new customers, providing the over the top of the services, and a base for stagnant subscriber. The telecom industry is facing problem in managing their big data to provide the over the top of the services to their customers. The IoT open a new path for managing number of subscribers on a single platform. The new streams and new challenges in the telecommunication industry brings the use of IoT for revolutionize the connectivity between different subscribers. The IoT initiatives depend on three things in the telecom industry. The first thing is to provide the infrastructure which is capable of managing consumer application, management of services, and the wide range of IoT solution. The IoT is capable of developing highly versatile for cloud platform. The infrastructure of the network is formed for telecom industry by using the concept of IoT for unlimited access of data. It is capable of providing wide scalability, better performance, and managing various pools of data. The second thing is to develop new stream of data for managing computing infrastructure to provide over the top of service to the providers and system analyst. The network hardware which is used for enabling cloud capabilities are modem, base station, and operators. The third thing is the opportunity for employing IoT services by using the capabilities of software defined networking and virtualization for network function. The large scale IoT solutions are deployed for providing new services. It has been seen that the industry of telecommunication is associated with daily new invention. The communication changes from voice to video, interchanging of images, ideas, and others. The sensor technology is the key concept of IoT technology which converts the devices into smart devices. The internet of thing is the hub of the telecommunication industry for managing big data. The global need of the telecommunication industry is the deployment of connected and smart IoT system.
Big data is the complex data set which is used for data processing application. Predictive analytics and user behaviour analytics are the techniques which are used for managing big data in the IoT environment. The internet of thing devices is required for managing the big and complex data. The IoT which are used are mobile devices, software logs, remote sensing, microphones, cameras, radio frequency identification reader, and wireless sensor networks. The variety of hardware and software devices can be placed on the IoT infrastructure. The smart objects are used interconnection between embedded devices. The visualization packages used in the relational database system is complex to store big data. Volume, variety, and velocity are the characteristics of the big data. Big data is used for business intelligence, cloud computing, and visualization in the environment of internet of things.
The IoT is defined as the global interconnection between different devices and object which interact with each other in the physical world. Machine to machine is the interconnection between wired and wireless devices. There are following main categories which play an important role in the rise of IoT in the telecommunication industry.
|
Category |
Description |
|
Tagging things |
The technologies which are used for tagging devices to one another are radio frequency identification, quick response code, near field communication, and digital watermarking. |
|
Sensing things |
Environmental conditions which are associated with technologies are presence of moisture, heat, and quality of air. |
|
Shrinking things |
The IoT technology makes the technology to use IT objects which are in smaller in size, lighter in weight, and embedding the wireless technologies. |
|
Thinking things |
“Semantic web is used for assessing the objects which creates boundaries for people and application to customise the things on the data available on the cloud” (Gaiser, 2015). |
There are three categories which are responsible for managing dimensions in the telecommunication world:
The traditional telecommunication industry is based on machine to machine communication which faces following challenges:
|
Challenges |
Explanation |
|
Standardization |
The standard management and communication protocols are not used in the traditional system for maintaining connectivity between different devices and network platform. |
|
Fragmentation |
The guidelines of the traditional system vary from industry to industry. |
|
Complexity |
It is complex to apply regulations in the different sector of the industrial growth. |
|
User experience |
It is the major challenge to manage consistency between different systems. |
|
Size |
It is complex to apply security measure to limited device resources. |
|
Hardware |
The diversity of operating system increases the complexity of the security measures |
|
Data constraints |
It is hard to apply identification, encapsulation, and compression of data. |
|
Confidentiality |
The disclosure of information can occur in the traditional system |
|
Integrity |
The integration of data on different platform is hard to manage |
|
Authentication |
The authorization should be associated with the accessing of data. |
|
Characteristics |
Description |
|
Interconnectivity |
The IoT helps in developing interconnection between the devices placed on infrastructure |
|
Things related services |
The consistency and privacy can be managed between different physical objects. |
|
Heterogeneity |
The variety of hardware and software devices can be placed on the IoT infrastructure. The smart objects are used interconnection between embedded devices. |
|
Dynamic Changes |
The location and speed of the devices can be predicted by using the IoT in telecommunication industry. |
|
Enormous scale |
The magnitude of the devices can be increased and decreased of the connection. |
|
Scaling |
The scaling of the communication devices can be increased or decreased according to the requirement of the user. |
|
Sensor technology |
“The sensor technology is used for managing links between different telecommunication devices” (Kamat, 2014). |
The following diagram shows the comparison between traditional telephony and IoT telephony:
”The usage based services are provided by traditional tele-communication system but in the IoT environment the data consumption is directly linked with service value” (Buhalis, 2014). The following diagram shows the IoT service segmentation.
“The issues which are associated with deployment plan of IoT in telecommunication industry are management of supply chain system, transaction tracking, value chain transformation, and many more” (Fries, 2014). “The scaling of the communication devices can be increased or decreased according to the requirement of the user” (Khalid, 2016). “The sensor technology is used for managing links between different telecommunication devices” (Fang, 2016). The following graph shows the implementation of IoT in the telecommunication industry:
The edge, core, and network are the key parts which are used for developing the IoT solution
The generic and specific requirements are used for developing architecture for the internet of things. The generic requirement is used for developing connectivity between resources and devices deployed on the internet. The firewall should be used for developing secure interconnection. Specific requirement is composed of connectivity between different communication devices, data collection and analysis, management of the devices, and managing security and scalability. “HTTP, HTTP-API, HTTPS, and others are some of the protocols which are used for managing connection between the devices placed on the network” (Wang, 2014). The layered architecture of IoT in the telecommunication industry is shown below in the diagram.
The features which are associated with the IoT applications are performance, interoperability, availability, accuracy, maintainability, integrity, flexibility, and coordination.
|
Technologies used in IoT |
Description |
|
Radio frequency identification reader |
RFID make use of radio waves for identifying the devices posted on the network. |
|
Sensor Network |
The sensor technology is used for developing relationship between devices placed on physical and virtual world. |
|
Microcontrollers |
Microchips are used for controlling the objects embedded on IoT environment |
|
Protocols |
HTTP, HTTP-API, HTTPS, ISA, link layer protocol, Zig bee and others are some of the protocols which are used for managing connection between the devices placed on the network. |
|
Actuators |
Actuators are the devices which are used for detecting signals send by the senders for performing communication. |
|
Ambient Technologies |
Ambient technologies are well-efficient in sensitive and responsive environment. These technologies are used for developing context aware programs in relation with personalized system. |
|
Analytics and applications |
“The specific use cases and visualization can be developed for the applications” (Perkins, 2016) |
|
Application platform |
The services used for enabling data libraries within the application |
|
Data platform |
The intelligent data storage is used for managing the telecommunication devices |
|
Connectivity |
The middleware and protocols are used for connecting devices and interpreting data. |
|
Edge devices |
The edge devices are used for sensing the capabilities of the embedded software. |
“The legacy and new sensors are used for managing mapping between the communication networks”(li, 2015). There are four categories of IoT in the deployment of sensor which are categorised as Convenience, customization, cost, and control. “The value loops are used for managing roadmap for assessing the viability of the configuration devices” (Noronha, 2016). The following diagram shows the mapping between different sensors.
Conclusion:
The global need of the telecommunication industry is the deployment of connected and smart IoT system. The internet of thing devices is required for managing the big and complex data. The IoT is capable of building secure communication links in creating new values for the telecom industry. The IoT open a new path for managing number of subscribers on a single platform. The new streams and new challenges in the telecommunication industry brings the use of IoT for revolutionize the connectivity between different subscribers. The sensor technology is used for managing links between different telecommunication devices. The features which are associated with the IoT applications are performance, interoperability, availability, accuracy, maintainability, integrity, flexibility, and coordination. The variety of hardware and software devices can be placed on the IoT infrastructure. The smart objects are used interconnection between embedded devices. The legacy and new sensors are used for managing mapping between the communication network in the IoT environment.
References:
Buhalis, P. (2014). Reaping the benefit of the internet of things (1st ed.). Retrieved from https://www.cognizant.com/InsightsWhitepapers/Reaping-the-Benefits-of-the-Internet-of-Things.pdf
Fang, S. (2016). An integrated system for regional environment monitoring and management based on internet of things (1st ed.). Retrieved from https://ieeexplore.ieee.org/document/6725615/
Friess, P. (2014). Internet of things- from research and innovation to market deployment (1st ed.). Retrieved from https://www.internet-of-things-research.eu/pdf/IoT-From%20Research%20and%20Innovation%20to%20Market%20Deployment_IERC_Cluster_eBook_978-87-93102-95-8_P.pdf
Gaiser, K. (2015). Integrating IoT sensor technology into the enterprise (1st ed.). Retrieved from https://www.intel.com/content/dam/www/public/us/en/documents/best-practices/integrating-iot-sensor-technology-into-the-enterprise-paper.pdf
Haller, S. (2014). The internet of things in an enterprise context (1st ed.). Retrieved from https://ai2-s2-pdfs.s3.amazonaws.com/1c49/c74521b4c9eae7a352a3b223b4213294c681.pdf
Kamat, P. (2014). Industrial internet of things (1st ed.). Retrieved from https://www3.weforum.org/docs/WEFUSA_IndustrialInternet_Report2015.pdf
Khalid, A. (2016). Internet of things and research agenda (1st ed.). Retrieved from https://ijcsmc.com/docs/papers/March2016/V5I3201699a15.pdf
Li, D. (2015). Building value from visibility (1st ed.). Retrieved from https://www.zebra.com/content/dam/zebra/white-papers/en-us/zebra-iot-report-en-us.pdf
Noronha, A. (2016). Attaining IOT value: How to move from connecting things to capturing insights (1st ed.). Retrieved from https://www.cisco.com/c/dam/en_us/solutions/trends/iot/docs/iot-data-analytics-white-paper.PDF
Perkins, W. (2016). The internet of things for today and tomorrow (1st ed.). Retrieved from https://www.arubanetworks.com/assets/eo/HPE_Aruba_IoT_Research_Report.pdf
Wang, C. (2014). Internet of things for enterprise system of modern manufacturing (1st ed.). Retrieved from https://pdfs.semanticscholar.org/a504/6b31365733a0bc99a60ed9ca2bf3b7a15690.pdf
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