The deployment of the Internet of Things (IoT) processes is accompanied by wide-ranging Internet security protocols, which provide long-term solutions for the delivery of confidential communication among individuals and businesses. The Internet of Things (IoT) is a rapidly developing subject in the modern-day world of technological advancements. According to Gubbi Buyya, Marusic, and Palaniswami, (2013), the effect of deploying IoT objects on the Internet and the economy is remarkable, with a projection of more than 100 billion connected IoT objects in the world today. During the initial stages of IoT development, various connected computers were dependent on IP addresses assigned to users in several internet servers; however, with time, most users consumed and modified content on the servers. In the contemporary world, most individuals and businesses have developed their arrangements and categories of IoT applications to facilitate the smooth flow of their operations. This research paper focuses on the most suitable deployment methods for the IoT objects, including their configuration processes and controls, machine-to-machine technology, installation process, uptime management and their impact on consumers.
Keywords: Machine-to-machine, Internet of Things, Uptime Management
Deployment Method for IoT Objects
The Internet of Things (IoT) is a highly developing phenomenon in the current world of technological advances. It takes account of a wide range of devices for monitoring several values with the intention of gaining a substantial amount of data. Research and innovation today are dependent on the IoT, as a significant tool for technological, social, and economic development of consumer products, sensors and industrial utility components. Integrating IoT with various applications requires a systematic process of combining it with Internet connectivity as well as potential data diagnostic capabilities to significantly transform people’s lifestyles. The deployment of IoT objects considerably influence the Internet and the economy, prognosticating more than 100 billion connected IoT objects, along with a worldwide economic impact of approximately $11 trillion in the next decade (Perera, Zaslavsky, Christen, & Georgakopoulos, 2014). On the other hand, the deployment of IoT is accompanied by weighty challenges that might impede the projected achievement of such potential benefits. Therefore, this research paper focuses on the most suitable deployment methods for the IoT objects, including its configuration processes and controls, installation process, uptime management and its impact on consumers. Therefore, the recommendations will address issues regarding privacy fears, surveillance concerns and hacking of Internet-connected devices.
Machine-to-Machine (M2M) Communication
Machine-to-machine (M2M) is defined as any technology, which can facilitate information exchange amongst networked devices and execute actions without the manual involvement of humans. According to Gubbi et al. (2013), M2M communications help to transmit data automatically between electronic and mechanical devices, while measuring their components and interconnectedness. In simple terms, the IoT comprises wide-ranging machines communicating with each other frequently as computer-connected humans continue to observe, analyze and execute various activities to cause “big data” explosion (Xia, Yang, Wang, & Vinel, 2012).
In the first few years of IoT development, the identification of various connected computers was dependent on IP addresses assigned to users in several internet servers. Most users used and transformed information on the servers, but as the internet developed in complexity and number of users, many people started utilizing wide-ranging mobile computing devices. Thereafter, web servers conveyed ever-richer content that facilitated a more sophisticated and faster way of interaction among users. The introduction of M2M communication has revolutionized the internet/web profoundly, and as Suryadevara, Kelly, and Mukhopadhyay (2014) predict, ‘things’ will generate the bulk of internet traffic instead of computers operated by humans.
M2M communication plays a significant role in robotics, remote control, supply chain management, warehouse management, telemedicine, logistic services and fleet management. Perera et al. (2014) contend that M2M communications are vital processes for the deployment of IoT objects. Many businesses utilize M2M communication to remotely monitor their services. For instance, a distributor can program a vending machine to send automatic messages when some products are out of stock. Importantly, some of the major components of M2M deployment method are Wi-Fi connections, RFID, sensors, cellular communications and automated computing software facilitating the interpretation of data in a networked device for accurate decision-making. Telemetry is one of the most renowned types of M2M communication for deploying operational data. Initially, its inventors used telephone lines and radio waves to communicate performance analytic data collected from remote settings. Currently, the IoT and sophisticated wireless technology devices have expanded the utilization of telemetry to Internet-connected appliances (Suryadevara, Kelly, & Mukhopadhyay, 2014). M2M communication devices have facilitated the development of products usually considered ‘smart’ by end users.
Configuration Processes and Controls
Various business enterprises have developed their intrinsic arrangements and categories of IoT applications to facilitate the smooth flow of their operations. Perera et al. (2014) state that the increasing number of Internet-enabled devices would generate a substantial volume of traffic. As a case in point, Cisco forecasts that non-PC devices will generate additional 50% of Internet traffic in the next five years. Furthermore, the firm estimates that the amount of M2M connections will increase by at least 20% in the next five years. The following are some of the configuration processes and controls used as deployment methods of IoT.
Internet of Things and Wi-Fi
Manufacturers, vendors and developers have increased their dependence on Wi-Fi, as one of the most effective ways to create innovative categories of products, devices and systems for end users. Wi-Fi technology helps to link the devices through wireless access sockets, which transform the Internet into the system having cloud-based intelligence. Gubbi et al. (2013) recommend that developers should expedite the configuration process by selecting Wi-Fi components fitted with integrated antenna and internal flash. For multinational organizations, the designers should choose a pre-certified radio section, which comprises internationally compliant solutions to reduce the marketing period and acceptance cycles. Additionally, cloud services should support the application software because it helps to develop cloud-based applications that accompany the IoT. Similarly, home automation applications should integrate Digital Living Network Alliance's (DLNA/UPnP) protocol stack as a support mechanism (Xia et al., 2012).
In this model, the IoT device connects through an application-layer gateway (ALG) service functioning as a channel to the cloud. As such, local application software links the device to the cloud service and secures it with other application, including those translating the collected data. “Hub” devices are other forms of device-to-gateway model in home automation applications. In fact, they function as a local channel between specific IoT applications and cloud services in such a way that they connect a device and the service to work concurrently (Xia et al., 2012).
- 300 words/page
- Papers written from scratch
- Relevant and up-to-date sources
- Fully referenced materials
- Attractive discount system
- Strict confidentiality
- 24/7 customer support
IoT Installation Process
A comprehensive feature of an automated process used to install certificates on (IoT) devices is the preservation of privacy of individuals, especially customers who desire to retain well-secured private network. In the modern-day world, businesses have opted to establish a dependable and secure network for their consumers in conjunction with cable operators. Thus, organizations can exchange vital information and communicate with their customers easily through certificate-based Public Key Infrastructure (PKI) (Xia et al., 2012). The installation of this secure network goes an extra mile by considering the operator’s physical facilities as well as the customer’s premises. The process helps to protect the customer premise equipment (CPE) by manufacturing certificates in a skillful and safe way, which eventually establishes delineation for private networks. Collectively, the CPE includes gateways (GWs), set-top-boxes (STBs) and cable modems (CMs) (Suryadevara, Kelly, & Mukhopadhyay, 2014).
Both individuals and organizations value their privacy, and protection of IoT processes is a vital measure when talking about forming a firm foundation for performing a wide range of daily transactions on the Internet. As stated by Perera et al. (2014), the IoT installation process also includes the creation of an automated PKI, which helps in communicating and transferring certificates to another IoT device within another private network operated by a customer. As soon as the introduction of the newly created IoT device within the CPE’s connectivity varies, the two applications discover each other to connect to a temporary link-layer network using specific communication protocols agreeable to the IoT devices. Such devices can include Wi-Fi and Bluetooth, which are some of the applications that facilitate the installation and running of IoT devices.
Miorandi, Sicari, De Pellegrini, and Chlamtac (2012) recommend that the installation process of business-based IoT devices should take place using the restricted transmission power until the installation of the certificate is completed. The benefits of taking such measures are to preserve battery life until the IoT device finds a suitable buyer in the market. Furthermore, it helps in maintaining proximity requirements between the CPE and the new IoT device for easy discovery of connected devices. IoT devices must also take into consideration the likelihood of certificate revocation as well as the prerequisite for its installation on different IoT devices. During such circumstances, Gubbi et al. (2013) recommend that the IoT device should return to its factory settings with the intention of discovering a network to launch a primary connection outside of its scope. IoT installation process should support the transmission of IoT devices between “things” in a secondary market operation.
Whereas uptime management is a vital step in ensuring the smooth running of servers and IoT devices, individuals and organizations should note that the health of the platform reflects an all-inclusive assessment of reliability. Uptime management of deployed IoT objects requires the running of servers with a 99.9% uptime to enable constant exchange of information between IoT devices (Gubbi et al., 2013). Therefore, to ensure all device services run smoothly without unnecessary downtime, individuals or businesses should examine if their infrastructure is processing transactions as required using IT Service Management and Technology (ITSM). As stated by Porter and Heppelmann (2016), ITSM is associated with an end-to-end, process-based uptime management method for all IT elements, which helps to monitor how an organization deploys IoT objects to accomplish business objectives. It contrasts with other IT management approaches because instead of concentrating on IT systems, it channels its efforts on the progressive improvement of IT services.
Uptime management using ITSM provides an added distinguishability to the health status of the service stack in the organization. Even though managing and monitoring the servers also measure uptime, ITSM delves into wide-ranging elements that work in unison in line with the application’s requirements. For instance, an organization running several services on various servers can use ITSM for in-depth scrutiny of their server’s functionality, connectivity, CPU utilization and disk latency. Therefore, uptime management requires the application of ITSM for an improved end-to-end analysis of an organization’s server architecture to ensure the network performs optimally with various IoT devices in a more holistic manner (Xia et al., 2012).
In the contemporary world of technology, many consumers have adopted network-connected IoT devices, including wearable technology and home-based smart appliances. Porter and Heppelmann (2016) state that in the next two years, approximately 40% of global consumers plan to acquire technologically advanced home-based IoT devices. In fact, these include smart refrigerators, smart thermostats, smart TVs and automated vacuum cleaners. Even though several individuals have planned to use various IoT devices, the short-term impact of the widespread adoption of connected technology will be unavoidable over the next decade.
Perera et al. (2014) state that in the next five years, the proportion of individuals owning IoT devices will significantly rise. Existing statistics show that roughly 5% of global consumers own a home-based IoT device, and five percent of consumers own a wearable IoT device. In the next five years, approximately 70% of consumers crave to purchase a home-based IoT device, while the ownership of wearable technology devices already doubled in the year 2015 compared to 2014 (14%). By the end of 2016, the consumer impact of wearable technology would reach a 40% adoption rate, meaning IoT devices are the new way of communicating and deploying information.
Progress in the deployment of IoT processes is associated with a wide range of Internet security protocols, which provide long-term solutions for the delivery of confidential communication among individuals and businesses. Integrating IoT with various applications requires a systematic process of combining it with Internet connectivity as well as potent data diagnostic capabilities to significantly transform people’s lifestyles. The computation of IoT processes and their deployment involve wide-ranging service infrastructure and cutting-edge semantic models fortified with programming techniques to control shared contents. Therefore, various deployment methods for IoT objects should address privacy issues and surveillance concerns of Internet-connected devices.