GITAR: Generic extension for Internet-of-Things ARchitectures enabling dynamic updates of network and application modules

Ruckebusch, Peter; Poorter, Eli De; Fortuna, Carolina; Moerman, Ingrid

doi:10.1016/j.adhoc.2015.05.017

Cited by 38 publications

(28 citation statements)

References 7 publications

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“…In this situation, different component update orders can result in different numbers of re-written pages. In addition, in component-based software systems, some components may call the others during their operation [9]. This dependency leads to an update order constraint, in which a component can only be replaced when all components it depends on had been updated.…”

Section: Introductionmentioning

confidence: 99%

“…Existing work on component-based software for IoT devices often focuses on the ways a component is updated [9], [12], [13], and do not consider thoroughly how updates are distributed, especially when multiple updates are required at the same time. In this paper, we consider an IoT network consisting of component-based IoT devices with the same software connected to a gateway, and a set of components needs to be updated to all devices from the gateway.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy Efficient Scheduling for Networked IoT Device Software Update

Bui

Pham

Nguyen

et al. 2019

2019 15th International Conference on Network and Service Management (CNSM)

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Software in IoT devices needs to be improved regularly to adapt security issues and new user requirements. In advanced IoT networks, devices employ the component-based software architecture in which components can be updated at run-time, such devices can download software components from neighbors, enabling fast distribution of updates in the entire network. One of the most energy consuming operations in the update process is flash re-writing in which the order of re-writing components into the flash memory is decisive for energy consumption. In this paper, we propose a mechanism that schedules updates in an entire IoT network to minimize the energy consumption, while satisfying the deadline constraint for updating all the devices. We mathematically formulate the problem of energy efficient update scheduling as an optimization problem with a novel energy model of the update process, then propose an algorithm to approximate the optimal schedule for updating all devices in the network. We examine the proposed algorithm in three different network instances including a tree, a partial mesh and a full mesh topology. Simulation results illustrate that our algorithm can obtain a near optimum which is, in the best case, only 3.2% different from the minimum.Index Terms-energy efficiency, software update, IoT device, component-based IoT software.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy Efficient Scheduling for Networked IoT Device Software Update

Bui

Pham

Nguyen

et al. 2019

2019 15th International Conference on Network and Service Management (CNSM)

View full text Add to dashboard Cite

show abstract

“…Recently, the feasibility of code updates of components of both the network layers through the use of a dynamic component object model (COM) was demonstrated [57]. However, the architecture cannot yet be used for over-the-air updates of MAC protocols.…”

Section: Challenges Related To Device Reconfiguration and Software Upmentioning

confidence: 99%

Sub-GHz LPWAN Network Coexistence, Management and Virtualization: An Overview and Open Research Challenges

Poorter

Hoebeke

Strobbe

et al. 2017

Wireless Pers Commun

Self Cite

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Abstract. The IoT domain is characterized by many applications that require lowbandwidth communications over a long range, at a low cost and at low power. LPWANs (Low Power Wide Area Networks) fulfill these requirements by using sub-GHz radio frequencies (typically 433 or 868 MHz) with typical transmission ranges in the order of 1 up to 50 kilometers. As a result, a single base station can cover large areas and can support high numbers of connected devices (> 1000 per base station). Notorious initiatives in this domain are LoRa, Sigfox and the upcoming IEEE 802.11ah (or "HaLow") standard. Although these new technologies have the potential to significantly impact many IoT deployments, the current market is very fragmented and many challenges exists related to deployment, scalability, management and coexistence aspects, making adoption of these technologies difficult for many companies. To remedy this, this paper proposes a conceptual framework to improve the performance of LPWAN networks through in-network optimization, cross-technology coexistence and cooperation and virtualization of management functions. In addition, the paper gives an overview of state of the art solutions and identifies open challenges for each of these aspects.

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“…The authors in [36] proposed a new software update mechanism for resource-confined IoT devices called Generic extension for Internet-of-Things ARchitectures (GITAR) that can be applied to the existing IoT operating systems. According to the authors, this architecture is able to use standard file structures, tools and methods to apply the partial code updates (delta updates) for protocols and applications during run-time.…”

Section: Iot Software and Firmware Updatesmentioning

confidence: 99%

IoT Privacy and Security Challenges for Smart Home Environments

2016

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Often the Internet of Things (IoT) is considered as a single problem domain, with proposed solutions intended to be applied across a wide range of applications. However, the privacy and security needs of critical engineering infrastructure or sensitive commercial operations are very different to the needs of a domestic Smart Home environment. Additionally, the financial and human resources available to implement security and privacy vary greatly between application domains. In domestic environments, human issues may be as important as technical issues. After surveying existing solutions for enhancing IoT security, the paper identifies key future requirements for trusted Smart Home systems. A gateway architecture is selected as the most appropriate for resource-constrained devices, and for high system availability. Two key technologies to assist system auto-management are identified. Firstly, support for system auto-configuration will enhance system security. Secondly, the automatic update of system software and firmware is needed to maintain ongoing secure system operation.

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GITAR: Generic extension for Internet-of-Things ARchitectures enabling dynamic updates of network and application modules

Cited by 38 publications

References 7 publications

Energy Efficient Scheduling for Networked IoT Device Software Update

Energy Efficient Scheduling for Networked IoT Device Software Update

Sub-GHz LPWAN Network Coexistence, Management and Virtualization: An Overview and Open Research Challenges

IoT Privacy and Security Challenges for Smart Home Environments

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