Software Update Recovery for Wireless Sensor Networks

Brown, Stephen; Sreenan, Cormac J.

doi:10.1007/978-3-642-11870-8_8

Cited by 8 publications

(6 citation statements)

References 15 publications

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“…However, wireless sensor networks characteristics such as wireless link and node unreliability and resource constraints make sensor network reprogramming a challenging task. A wide range of techniques for in-field reprogramming of WSN have been proposed in the literature and incorporated into the designs of many sensor nodes (see [97,98] and references within). In order to reprogram a WSN in field, the new code has to be distributed to the nodes over the wireless network and the installation and launching of the new code (and removal of the old code) on individual nodes has to be performed automatically by the nodes themselves.…”

Section: Wsn Programming and In-field Reprogramming/re-configurationmentioning

confidence: 99%

Wireless Innovations as Enablers for Complex & Dynamic Artificial Systems

Vassilaras

Yovanof

2010

Wireless Pers Commun

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Scientific and technological innovations of the last few decades in the field of wireless telecommunications and networking have enabled a wide area of applications and services in healthcare, transportation, environmental protection, infotainment, industrial automation, homeland security, smart urban environments and other disparate fields. At the same time the complexity and criticality of these systems creates many technical challenges in their design, development and operation. This paper reviews a number of important application fields of wireless communications and networking and discusses recent results, key challenges and unsolved issues in each one of them. It goes on to present some theoretical and practical issues and research directions in the field of wireless communications and networking that are common to most if not all application areas. These include theoretical link and network capacity limits, cognitive radio and cognitive networking, programming and in-field reprogramming of wireless devices, and complex system design inspired by biology and physics.

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Section: Wsn Programming and In-field Reprogramming/re-configurationmentioning

confidence: 99%

Wireless Innovations as Enablers for Complex & Dynamic Artificial Systems

Vassilaras

Yovanof

2010

Wireless Pers Commun

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“…flash the node) [10], [11] and is the most suitable for OS/firmware upgrades. With multiple images it is possible to support multiple applications or implement failure recovery.…”

Section: Reprogramming and Reconfiguration Modelsmentioning

confidence: 99%

Design trade-offs for the wireless management networks of constrained device testbeds

Činkelj

Sterk

Bekan

et al. 2014

2014 11th International Symposium on Wireless Communications Systems (ISWCS)

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A relatively small number of testbeds based on constrained devices use a wireless management network, mostly because of the unreliable communication it enables. However, in some cases, such management networks are the only option due to the target location of such testbeds: outdoors, on light posts, buildings, etc. In this paper, we analyze the design trade-offs encountered when designing a wireless management network for testbeds based on constrained devices. First, we identify two use cases and the functionality needed by the management network in supporting them. Next, we discuss ways of providing the desired functionality and illustrate the decisions we took for designing and implementing the management network for the extension of the LOG-a-TEC testbed together with an initial evaluation. The analysis and the adopted decisions resulted in a management network that is separated from the experimental network providing improved application throughput, together with smaller application level updates/reconfiguration size that significantly shorten the time required to set up a new experiment.

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“…The other approach, identified in [82] and used in [83], is to focus on a single failure, with an easily identified symptom: that of being unable to perform future software updates. The reasoning is that if a software update can be performed, the system is not in need of recovery (from a software update viewpoint), and that if it cannot be performed, then recovery is needed (irrespective of whether the application is currently performing correctly).…”

Section: Update Fault Detection and Recoverymentioning

confidence: 99%

“…This work [82] identifies a single, critical, failure symptom-loss-of-control-that complements exception-based schemes, and supports failsafe recovery from faults in software updates. It includes a software update recovery mechanism that uses loss-of-control to provide high-reliability, low energy, recovery from software update failures.…”

Section: Software Update Recovery For Wireless Sensor Network (Sur)mentioning

confidence: 99%

Software Updating in Wireless Sensor Networks: A Survey and Lacunae

Brown

Sreenan

2013

JSAN

Self Cite

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Wireless Sensor Networks are moving out of the laboratory and into the field. For a number of reasons there is often a need to update sensor node software, or node configuration, after deployment. The need for over-the-air updates is driven both by the scale of deployments, and by the remoteness and inaccessibility of sensor nodes. This need has been recognized since the early days of sensor networks, and research results from the related areas of mobile networking and distributed systems have been applied to this area. In order to avoid any manual intervention, the update process needs to be autonomous. This paper presents a comprehensive survey of software updating in Wireless Sensor Networks, and analyses the features required to make these updates autonomous. A new taxonomy of software update features and a new model for fault detection and recovery are presented. The paper concludes by identifying the lacunae relating to autonomous software updates, providing direction for future research

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Software Update Recovery for Wireless Sensor Networks

Cited by 8 publications

References 15 publications

Wireless Innovations as Enablers for Complex & Dynamic Artificial Systems

Wireless Innovations as Enablers for Complex & Dynamic Artificial Systems

Design trade-offs for the wireless management networks of constrained device testbeds

Software Updating in Wireless Sensor Networks: A Survey and Lacunae

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