Fault tolerant and scalable IoT-based architecture for health monitoring

Khan

Journal of Computer Networks and Communications

2019

170

Internet of Things (IoT) is realized by the idea of free flow of information amongst various low power embedded devices that use Internet to communicate with one another. It is predicted that the IoT will be widely deployed and it will find applicability in various domains of life. Demands of IoT have lately attracted huge attention and organizations are excited about the business value of the data that will be generated by the IoT paradigm. On the other hand, IoT have various security and privacy concerns for the end users that limit its proliferation. In this paper we have identified, categorized and discussed various security challenges and state of the art efforts to resolve these challenges. Keywords: Security in IoT, Privacy in IoT, DoS in IoT, Secure routing in IoTIn [17] the authors identified and discussed three representative sensing applications. They are personal sensing, designated sensing and community sensing each requiring heterogeneous security and privacy

Section: Existing Solution and Discussionmentioning

confidence: 99%

Understanding Security Requirements and Challenges in Internet of Things (IoT): A Review

Khan

Journal of Computer Networks and Communications

2019

170

2018 IEEE 4th World Forum on Internet of Things (WF-IoT)

“…Gia et al [12] propose a fault-tolerant and scalable IoT architecture for health care which covers many fault situations including malfunction of sink node hardware and traffic bottlenecks. Similarly, another fault-tolerant mechanism for intelligent IoT is implemented by Su et al [13] that presents the design of a fail recovery mechanism in WuKong middleware.…”

Section: Related Workmentioning

confidence: 99%

CEFIoT: A fault-tolerant IoT architecture for edge and cloud

Javed

Heljanko

Buda

et al. 2018

Internet of Things (IoT), the emerging computing infrastructure that refers to the networked interconnection of physical objects, incorporates a plethora of digital systems that are being developed by means of a large number of applications. Many of these applications administer data collection on the edge and offer data storage and analytics capabilities in the cloud. This raises the following problems: (i) the processing stages in IoT applications need to have separate implementations for both the edge and the cloud, (ii) the placement of computation is inflexible with separate software stacks, as the optimal deployment decisions need to be made at runtime, and (iii) unified fault tolerance is essential in case of intermittent long-distance network connectivity problems, malicious harming of edge devices, or harsh environments. This paper proposes a novel fault-tolerant architecture CEFIoT for IoT applications by adopting state-ofthe-art cloud technologies and deploying them also for edge computing. We solve the data fault tolerance issue by exploiting the Apache Kafka publish/subscribe platform as the unified high-performance data replication solution offering a common software stack for both the edge and the cloud. We also deploy Kubernetes for fault-tolerant management and the advanced functionality allowing on-the-fly automatic reconfiguration of the processing pipeline to handle both hardware and network connectivity based failures.

Turk J Elec Eng & Comp Sci

“…Reliable data routing in IoT was investigated in [12,[15][16][17]. These works considered different criteria, such as device mobility and link reliability, to select the best routes for data transmission.…”

Section: Related Workmentioning

confidence: 99%

“…The shortcoming of this approach is the probability of choosing improper paths for data transmission. To provide reliability, the proposed scheme in [16] established backup routes for the nodes. These routes are used for data transmission in the case of primary route failure.…”

Section: Related Workmentioning

confidence: 99%

Reliable data gathering in the Internet of Things using artificial bee colony

Najjar-Ghabel¹,

Yousefi²,

Farzinvash³

2018

The Internet of Things (IoT) technology enables physical devices to communicate with each other for preparing, gathering, and sharing hazard warnings or critical information without human intervention. With respect to emergency applications of IoT technology, an essential issue is to provide an efficient and robust scheme for data gathering. The proposed solution in the existing approaches is to construct a spanning tree over the IoT devices and collect data using the tree. The shortcoming of these algorithms is that they do not take into account the probability of device mobility or failure. In such cases, the spanning tree is split, and it becomes impossible to deliver critical data to the base station on time. In this paper, we propose a reliable spanning tree construction algorithm, which is called reliable spanning tree construction in IoT (RST-IoT). Our algorithm utilizes the artificial bee colony algorithm to generate proper trees. In this method, hop count distances of the devices from the base station, residual energies of the devices, and their mobility probabilities are considered to measure the appropriateness of the trees. Moreover, the proposed algorithm generates a number of trees instead of a single one. These trees are arranged according to their preferences and used for data gathering in succession. Each tree is employed for data gathering upon splitting the preceding one. The simulation results show that RST-IoT improves the reliability of data gathering in emergency applications compared to the previous approaches. IntroductionThe Internet of Things (IoT) is a novel paradigm that considers the interaction of smart things. The main idea of IoT is that smart things or objects, such as sensors, actuators, smart phones, and RFID tags, are spread everywhere ubiquitously. These devices have interactions with each other and are able to collect and exchange data. The IoT paradigm covers a broad range of applications, comprising environmental monitoring [1, 2], transportation services, smart cities [3], emergency situation explorers, and industrial processes controllers [4].Reliable data gathering is an important issue to support emergency applications under IoT technology. The devices send the critical information to the base station for processing and decision making. Furthermore, the base station sends some commands to the devices under its control [5,6]. Transferring important data over the network requires a reliable backbone. The common approach for data gathering in IoT systems is to construct a spanning tree over the available devices [7][8][9][10][11]. The drawback of the existing algorithms is the unreliability of their generated trees. This shortcoming is mostly due to their failure in considering the characteristics of IoT devices. These devices are usually mobile and equipped with low-power batteries. Therefore, it is possible that the spanning tree is split because of the mobility of some devices or their energy exhaustion.