Fault-tolerant techniques for the Internet of Military Things

Chudzikiewicz, Jan; Furtak, Janusz; Zieliński, Z.

doi:10.1109/wf-iot.2015.7389104

Cited by 18 publications

(8 citation statements)

References 11 publications

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“…The approaches that are presented in [29][30][31][32][33] can be mentioned as some instances of architectural models of fault tolerance, which have been presented according to other architectural models of the IoT. Fault tolerance implemented on the internet of military objects has been investigated in [29]. In the presented model, which is shortly called IOMT, is an approach called MM and presented by Malek and Maeny, which has been used in order to facilitate fault detection.…”

Section: Related Workmentioning

confidence: 99%

A New Hybrid Fault Tolerance Approach for Internet of Things

2019

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In the Distributed Management Task Force, DMTF, the management software in the Internet of things (IoT) should have five abilities including Fault Tolerance, Configuration, Accounting, Performance, and Security. Given the importance of IoT management and Fault Tolerance Capacity, this paper has introduced a new architecture of Fault Tolerance. The proposed hybrid architecture has used all of the reactive and proactive policies simultaneously in its structure. Another objective of the current paper was to develop a measurement indicator to measure the fault tolerance capacity in different architectures. The CloudSim simulator has been used to evaluate and compare the proposed architecture. In addition to CloudSim, another simulator was implemented that was based on the Pegasus-Workflow Management System (WMS) in order to validate the architecture that is proposed in this article. Finally, fuzzy inference systems were designed in a third step to model and evaluate the fault tolerance in various architectures. Based on the results, the positive effect of using various combined Reactive and Proactive policies in increasing the fault tolerance in the proposed architecture has been prominently evident and confirmed.

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Section: Related Workmentioning

confidence: 99%

A New Hybrid Fault Tolerance Approach for Internet of Things

2019

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“…If data collection frequently occurs in a specific area, sensors in this area are more likely to run out of energy faster than sensors in other areas, increasing the likelihood of device failure. In the worst case, this can cause the entire network to lose communication, making data collection impossible [ 7 , 8 ]. As such, an area where data collection is no longer possible is called a sensing hole [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Ping-Pong Free Advanced and Energy Efficient Sensor Relocation for IoT-Sensory Network

Kim

Park

Lee

2020

Sensors

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With the growing interest in big data technology, mobile IoT devices play an essential role in data collection. Generally, IoT sensor nodes are randomly distributed to areas where data cannot be easily collected. Subsequently, when data collection is impossible (i.e., sensing holes occurrence situation) due to improper placement of sensors or energy exhaustion of sensors, the sensors should be relocated. The cluster header in the sensing hole sends requests to neighboring cluster headers for the sensors to be relocated. However, it can be possible that sensors in the specific cluster zones near the sensing hole are continuously requested to move. With this knowledge, there can be a ping-pong problem, where the cluster headers in the neighboring sensing holes repeatedly request the movement of the sensors in the counterpart sensing hole. In this paper, we first proposed the near-uniform selection and movement scheme of the sensors to be relocated. By this scheme, the energy consumption of the sensors can be equalized, and the sensing capability can be extended. Thus the network lifetime can be extended. Next, the proposed relocation protocol resolves a ping-pong problem using queues with request scheduling. Another crucial contribution of this paper is that performance was analyzed using the fully-customed OMNeT++ simulator to reflect actual environmental conditions, not under over-simplified artificial network conditions. The proposed relocation protocol demonstrates a uniform and energy-efficient movement with ping-pong free capability.

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“…2 of 17 There is an inherent problem that a small sensor has limited energy. To remedy this power limitation, wireless charging systems for IoT sensors have been researched actively recently [6]. However, charging system for the sensors is not always available, especially in inaccessible area like rugged terrain.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Wireless Hopping Sensor Relocation Based on Prediction of Terrain Conditions

2019

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It is inevitable for data collection that IoT sensors are distributed to interested areas. However, not only the proper placement of sensors, but also the replacement of sensors that have run out of energy is very difficult. As a remedy, wireless charging systems for IoT sensors have been researched recently, but it is apparent that the availability of charging system is limited especially for IoT sensors scattered in rugged terrain. Thus, it is important that the sensor relocation models to recover sensing holes employ energy-efficient scheme. While there are various methods in the mobile model of wireless sensors, well-known wheel-based movements in rough areas are hard to achieve. Thus, research is ongoing in various areas of the hopping mobile model in which wireless sensors jump. Many past studies about hopping sensor relocation assume that all sensor nodes are aware of entire network information throughout the network. These assumptions do not fit well to the actual environment, and they are nothing but classical theoretical research. In addition, the physical environment (sand, mud, etc.) of the area in which the sensor is deployed can change from time to time. In this paper, we overcome the theoretical-based problems of the past researches and propose a new realistic hopping sensor relocation protocol considering terrain conditions. Since the status of obstacles around the sensing hole is unknown, the success rate of the hopping sensor relocation is used to predict the condition of the surrounding environment. Also, we are confident that our team is uniquely implementing OMNeT++ (Objective Modular Network Testbed in C++) simulation in the hopping sensor relocation protocol to reflect the actual communication environment. Simulations have been performed on various obstacles for performance evaluation and analysis, and we are confident that better energy efficiency with later appearance of sensing holes can be achieved compared to well-known relocation protocols.

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Fault-tolerant techniques for the Internet of Military Things

Cited by 18 publications

References 11 publications

A New Hybrid Fault Tolerance Approach for Internet of Things

A New Hybrid Fault Tolerance Approach for Internet of Things

Ping-Pong Free Advanced and Energy Efficient Sensor Relocation for IoT-Sensory Network

Energy-Efficient Wireless Hopping Sensor Relocation Based on Prediction of Terrain Conditions

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