scholarly journals Research Challenges for the Internet of Things: What Role Can OR Play?

Systems ◽  
2017 ◽  
Vol 5 (1) ◽  
pp. 24 ◽  
Author(s):  
Peter Ryan ◽  
Richard Watson
Author(s):  
Issmat Shah Masoodi ◽  
Bisma Javid

There are various emerging areas in which profoundly constrained interconnected devices connect to accomplish specific tasks. Nowadays, internet of things (IoT) enables many low-resource and constrained devices to communicate, do computations, and make smarter decisions within a short period. However, there are many challenges and issues in such devices like power consumption, limited battery, memory space, performance, cost, and security. This chapter presents the security issues in such a constrained environment, where the traditional cryptographic algorithms cannot be used and, thus, discusses various lightweight cryptographic algorithms in detail and present a comparison between these algorithms. Further, the chapter also discusses the power awakening scheme and reference architecture in IoT for constrained device environment with a focus on research challenges, issues, and their solutions.


2020 ◽  
Author(s):  
Tanweer Alam ◽  
Baha Rababah ◽  
Rasit Eskicioglu

Increasing the implication of growing data generated by the Internet of Things (IoT) brings the focus toward extracting knowledge from sensors’ raw data. In the current cloud computing architecture, all the IoT raw data is transmitted to the cloud for processing, storage, and control things. Nevertheless, the scenario of sending all raw data to the cloud is inefficient as it wastes the bandwidth and increases the network load. This problem can be solved by Providing IoT Gateway at the edge layer with the required intelligence to gain the Knowledge from raw data to decide to actuate or offload complicated tasks to the cloud. This collaboration between cloud and edge called distributed intelligence. This work highlights the distributed intelligence concept in IoT. It presents a deep investigation of distributed intelligence between cloud and edge layers under IoT architecture, with an emphasis on its vision, applications, and research challenges. This work aims to bring the attention of IoT specialists to distributed intelligence and its role to deduce current IoT challenges such as availability, mobility, energy efficiency, security, scalability, interoperability, and reliability.


Author(s):  
Baha Rababah ◽  
Tanweer Alam ◽  
Rasit Eskicioglu

Increasing the implication of growing data generated by the Internet of Things (IoT) brings the focus toward extracting knowledge from sensors’ raw data. In the current cloud computing architecture, all the IoT raw data is transmitted to the cloud for processing, storage, and control things. Nevertheless, the scenario of sending all raw data to the cloud is inefficient as it wastes the bandwidth and increases the network load. This problem can be solved by Providing IoT Gateway at the edge layer with the required intelligence to gain the Knowledge from raw data to decide to actuate or offload complicated tasks to the cloud. This collaboration between cloud and edge called distributed intelligence. This work highlights the distributed intelligence concept in IoT. It presents a deep investigation of distributed intelligence between cloud and edge layers under IoT architecture, with an emphasis on its vision, applications, and research challenges. This work aims to bring the attention of IoT specialists to distributed intelligence and its role to deduce current IoT challenges such as availability, mobility, energy efficiency, security, scalability, interoperability, and reliability.


2017 ◽  
pp. 260-277
Author(s):  
Mahmoud Elkhodr ◽  
Seyed Shahrestani ◽  
Hon Cheung

The Internet of Things (IoT) promises to revolute communications on the Internet. The IoT enables numerous business opportunities in fields as diverse as e-health, smart cities, smart homes, among many others. It incorporates multiple long-range, short-range, and personal area wireless networks and technologies into the designs of IoT applications. This will result in the IoT being pervasive in many areas which raise many challenges. This chapter reviews the major research issues challenging the IoT with regard to security, privacy, and management.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 60117-60125 ◽  
Author(s):  
Giancarlo Fortino ◽  
Lidia Fotia ◽  
Fabrizio Messina ◽  
Domenico Rosaci ◽  
Giuseppe M. L. Sarne

2020 ◽  
Vol 5 (1) ◽  
pp. 37-50
Author(s):  
Andi Kurniawan

The use of the Internet of Things (IoT) has been widely developed in various fields of technology application. Using IoT can make it easier to build robust industrial systems and applications and provide visualization for the safety of industrial employees by taking advantage of the increasing number of radio frequencies, wireless devices, mobile devices and sensors. In understanding the development of IoT in the industry, the paper reviews the latest IoT research, a survey that compares the use of IoT from several existing papers, the main applications of IoT in the industry, and identifies trends and research challenges. The main contribution of this survey paper is to systematically summarize the current state of IoT in the industry.


Author(s):  
Mahmoud Elkhodr ◽  
Seyed Shahrestani ◽  
Hon Cheung

The Internet of Things (IoT) promises to revolute communications on the Internet. The IoT enables numerous business opportunities in fields as diverse as e-health, smart cities, smart homes, among many others. It incorporates multiple long-range, short-range, and personal area wireless networks and technologies into the designs of IoT applications. This will result in the IoT being pervasive in many areas which raise many challenges. This chapter reviews the major research issues challenging the IoT with regard to security, privacy, and management.


2020 ◽  
Author(s):  
Baha Rababah ◽  
Tanweer Alam ◽  
Rasit Eskicioglu

Increasing the implication of growing data generated by the Internet of Things (IoT) brings the focus toward extracting knowledge from sensors’ raw data. In the current cloud computing architecture, all the IoT raw data is transmitted to the cloud for processing, storage, and control things. Nevertheless, the scenario of sending all raw data to the cloud is inefficient as it wastes the bandwidth and increases the network load. This problem can be solved by Providing IoT Gateway at the edge layer with the required intelligence to gain the Knowledge from raw data to decide to actuate or offload complicated tasks to the cloud. This collaboration between cloud and edge called distributed intelligence. This work highlights the distributed intelligence concept in IoT. It presents a deep investigation of distributed intelligence between cloud and edge layers under IoT architecture, with an emphasis on its vision, applications, and research challenges. This work aims to bring the attention of IoT specialists to distributed intelligence and its role to deduce current IoT challenges such as availability, mobility, energy efficiency, security, scalability, interoperability, and reliability.


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