On the reliability, availability, and throughput of satellite swarms

Engelen, Steven; Gill, Eberhard; Verhoeven, C.J.M.

doi:10.1109/taes.2014.120711

Cited by 36 publications

(16 citation statements)

References 11 publications

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“…The reliability and availability of IP multi media subsystem is analyzed using Markov Chain [41] The availability of mobile cloud computing system is analyzed by modeling the physical components using CTMC [98] A Markov Chain based approach is presented to analyze the reliability of smart grid station having dependent failures [208] An MS-exchange email server having uncertain failure rates and repair rates is modeled and analyzed [202] The availability analysis of Eucalyptus cloud computing is presented [41] The availability of mobile cloud computing system is analyzed by modeling the physical components using CTMC Data Communication Networks/ Concurrent Failutes [114] The survivability analysis of VADHOC network, in terms of message lost, is modeled using Markov reward modeling and analysis is done using SHARPE software [209] A reliable WSN system is presented for safety applications and its reliability analysis is done using Markov Chain and analysis is done in SHARPE software [116] The reliability analysis of VoIP network is performed by simulating its RBD model using RAPTOR tool [210] The reliability and availability analysis of nanosatellites based spacecrafts-swarm is performed using Markov Chain and analysis is done through Monte Carlo simulation Data Communication Network/ Network Protocols [211] The reliability and rapidness analysis of fast and secure protocol, in term of successful delivery and time elapsed, is performed using Markov Chain and analysis is done in PRISM model checker [212] The survivability analysis of WSN, in terms of data loss and frequency of failures, is performed using PRISM model checker [213] The dependability properties of wireless group communication are verifies using ETMCCC model checker Data Communication System/ Unreliable Components [214] A finite retrial system with unreliable and multi servers, is analyzed through Petri Nets [199] WLAN based data communication systems are presented for CTBC and are analyzed through Petri Nets [186] The survivability analysis of cellular network, in terms of excess delay due to failure and call blocking, is performed using Petri Nets [215] [216] Erlang-B and Erlang-C traffic scenarios are created and thus reliability is evaluated [217] WSNs are modeled and analyzed through SPN to observe the effects of data packet number, throughput and arrival rate [218] A timed rotation token protocol is analyzed for the reliability analysis of FDDI using Petri Nets [219] Two types of networks architectures are modeled for a file server system and are analyzed using Petri Nets …”

Section: Analytical Methods With Markov Chain Based Analysismentioning

confidence: 99%

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Reliability modeling and analysis of communication networks

Ahmed

Hasan

Pervez

et al. 2017

Journal of Network and Computer Applications

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In recent times, the functioning of various aspects of modern society-ranging from the various infrastructural utilities such as electrical power, water to socio-economical aspects such as telecommunications, business, commerce, education-has become critically reliant on communication networks, and particularly on the Internet. With the migration of critical facilities to the Internet, it has become vitally important to ensure the reliability and availability of networks. In this paper, we study various modeling and analysis techniques that can aid in the study of reliability of communication networks. In this regard, we provide background on the modeling techniques (such as reliability block diagrams, fault trees, Markov chains, etc.) and analysis techniques (such as mathematical analytical methods, simulation methods, and formal methods). Apart from providing the necessary background, we also critically evaluate the pros and cons of different approaches, and provide a detailed survey of their applications in communication networks. To the best of our knowledge, this is the first in-depth review of the application of reliability modeling and analysis techniques in communication networks. work, the ability of a network to maintain an acceptable reliability level under extreme environmental conditions and assess the impact of design changes on the reliability of the overall network [17]. Similarly, the availability prediction allows us to evaluate various maintenance design options to achieve the desired availability of the network [18].The qualitative and quantitative reliability analysis requires the selection of an appropriate mathematical modeling and analysis technique. The modeling technique must be able to effectively capture the important parameters of the real system and the analysis technique should be capable of providing insights into the system behavior without running (or executing) the real system. There are numerous techniques that can provide analysis in the early phase, when only initial details are available of the design, and there are other techniques that cater the analysis of the later design phases, when more precise implementation details are available [16]. Some of the most widely used formalisms/techniques for modeling reliability and availability of communication networks are: Reliability Block Diagram (RBD) [19], Fault Tree (FT) [20], and Markov Chain (MC) [21]. Traditionally, the models developed using these techniques are analyzed using analytical methods or simulation tools.Recently, the computer networks community has shown great interest in the utilization of formal methods [22] as a reliability analysis technique for communication networks. Formal methods use mathematical logic to precisely model the system's intended behavior and deploy mathematical reasoning to construct an irrefutable proof that the given system satisfies its requirements. This kind of mathematical modeling and analysis makes formal methods an accurate and rigorous analysis method compared to the traditional a...

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Section: Analytical Methods With Markov Chain Based Analysismentioning

confidence: 99%

“…The SHARPE tool has been used for the reliability analysis of VANETs [114] and fault tolerant WSNs [209]. Similarly, the RAPTOR tool has been used for the analysis of VoIP communication system [116] and Monte Carlo simulation based reliability analysis of satellite swarms [210].…”

Section: Simulation Tools Based Analysis With Markov Chainmentioning

confidence: 99%

Reliability modeling and analysis of communication networks

Ahmed

Hasan

Pervez

et al. 2017

Journal of Network and Computer Applications

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“…First, the exploration efficiency increases due to collaboration [5]. Second, the inherent system redundancy avoids single point of failures that could jeopardize the whole mission [16]. Last but not least, a spread-out swarm can be seen as a distributed sensor array with dynamically adaptable sensing area and resolution.…”

Section: Introductionmentioning

confidence: 99%

Self-Aware Swarm Navigation in Autonomous Exploration Missions

et al. 2020

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“…The use of some of these terms is muddied by the fact that there are spacecraft missions named after some of them (thus, ESA has a mission called SWARM and one called CLUSTER). A satellite swarm is defined as a DSS consisting of many identical, low cost satellites autonomously cooperating to achieve a common goal [12]. A satellite formation is defined as multiple satellites working together in a group to achieve the mission of a larger satellite.…”

Section: Introductionmentioning

confidence: 99%

An economic analysis of disaggregation of space assets: Application to GPS

Hastings

Tour

2017

Acta Astronautica

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New ideas, technologies and architectural concepts are emerging with the potential to reshape the space enterprise. One of those new architectural concepts is the idea that rather than aggregating payloads onto large very high performance buses, space architectures should be disaggregated with smaller numbers of payloads (as small as one) per bus and the space capabilities spread across a correspondingly larger number of systems. The primary rationale is increased survivability and resilience. The concept of disaggregation is examined from an acquisition cost perspective. A mixed system dynamics and trade space exploration model is developed to look at long-term trends in the space acquisition business. The model is used to examine the question of how different disaggregated GPS architectures compare in cost to the well-known current GPS architecture. A generation-over-generation examination of policy choices is made possible through the application of soft systems modeling of experience and learning effects. The assumptions that are allowed to vary are: design lives, production quantities, nonrecurring engineering and time between generations. The model shows that there is always a premium in the first generation to be paid to disaggregate the GPS payloads. However, it is

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On the reliability, availability, and throughput of satellite swarms

Cited by 36 publications

References 11 publications

Reliability modeling and analysis of communication networks

Reliability modeling and analysis of communication networks

Self-Aware Swarm Navigation in Autonomous Exploration Missions

An economic analysis of disaggregation of space assets: Application to GPS

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