FiGaRo: Fine-Grained Software Reconfiguration for Wireless Sensor Networks

Mottola, Luca; Picco, Gian Pietro; Sheikh, Adil A.

doi:10.1007/978-3-540-77690-1_18

Cited by 40 publications

(29 citation statements)

References 25 publications

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“…REMOWARE the Reconfiguration Middleware In [24] , REMOWARE a new middleware solution is presented for Home monitoring application. The Remoware addresses the crucial issue by paying particular considerations to the resource and energy overheads induced by the reconfiguration process.…”

Section: )mentioning

confidence: 99%

A Review on Run-Time Reconfigurations and Code Update Mechanisms in Wireless Sensor Networks

Sreenivas¹

2015

IJIRCCE

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ABSTRACT:The design of wireless sensor networks for distributed applications is the most challenging task due to the factors such as limited storage on nodes, variable data arrival rate and high energy cost of communication. In most Wireless Sensor Networks(WSN), the battery is the sole energy source of the sensor node. The Sensor nodes are expected to work on batteries for several months to a few years without replenishing. Thus, energy efficiency becomes a major issue in WSNs. Nowadays, it is desired to use the WSN in heterogeneous platform for multiple monitoring. The Software development for the sensor node is a tedious task due to the change in network topology. The present state of art has come up with different solutions to overcome the performance issues such as Memory overhead, Heterogeneity, Portability, Scalability, Cost and Quality of Service. An adaptive framework should minimize the resource consumption and provide an optimal solution for run-time Reconfiguration. This paper presents a detailed review on current state-of-the art in the Run-time Reconfigurations of Wireless Sensor Networks. An Analysis is made on the existing middleware approaches and an evaluation is done based on the parameters like Application Openness, Scalability, Heterogeneity, User Friendly Interface, Mobility and Power Efficiency. The paper identifies a few open research issues that must be addressed during the Run-Time Reconfigurations of Wireless Sensor Networks.

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Section: )mentioning

confidence: 99%

A Review on Run-Time Reconfigurations and Code Update Mechanisms in Wireless Sensor Networks

Sreenivas¹

2015

IJIRCCE

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“…FiGaRo [Mottola et al 2008] is a WSN-specific reconfiguration solution, focusing on what should be reconfigured and where. The published work on FiGaRo fails to explain clearly its reconfiguration model and mostly focuses on a code distribution algorithm for WSNs.…”

Section: Related Workmentioning

confidence: 99%

Optimizing sensor network reprogramming via in situ reconfigurable components

Taherkordi

Loiret

Rouvoy

et al. 2013

ACM Trans. Sen. Netw.

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Wireless reprogramming of sensor nodes is a critical requirement in long-lived Wireless Sensor Networks (WSNs) for several concerns, such as fixing bugs, upgrading the operating system and applications, and adapting applications behavior according to the physical environment. In such resource-poor platforms, the ability to efficiently delimit and reconfigure the necessary portion of sensor software-instead of updating the full binary image-is of vital importance. However, most of existing approaches in this field have not been widely adopted to date due to the extensive use of WSN resources or lack of generality. In this paper, we therefore consider WSN programming models and run-time reconfiguration models as two interrelated factors and we present an integrated approach for addressing efficient reprogramming in WSNs. The middleware solution we propose, RemoWare, is characterized by mitigating the cost of post-deployment software updates on sensor nodes via the notion of in-situ reconfigurability and providing a component-based programming abstraction to facilitate the development of dynamic WSN applications. Our evaluation results show that RemoWare imposes a very low energy overhead in code distribution and component reconfiguration, and consumes approximately 6% of the total code memory on a TelosB sensor platform.

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“…For instance, Figaro [26] allows selecting subsets of nodes based on node attributes. It employs a treebased routing scheme for code dissemination, which is difficult to apply in a mobile, disconnected scenario like ours.…”

Section: Related Workmentioning

confidence: 99%

Selective Reprogramming of Mobile Sensor Networks through Social Community Detection

Pásztor

Mottola

Mascolo

et al. 2010

Lecture Notes in Computer Science

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Abstract. We target application domains where the behavior of animals or humans is monitored using wireless sensor network (WSN) devices. The code on these devices is updated frequently, as scientists acquire in-field data and refine their hypotheses. Wireless reprogramming is therefore fundamental to avoid the (expensive) re-collection of the devices. Moreover, the code carried by the monitored individuals often depends on their characteristics, e.g., the behavior or preferred habitat. We propose a selective reprogramming approach that simplifies and automates the process of delivering a code update to a target subset of nodes. Target selection is expressed through constraints injected in the WSN, triggering automatic dissemination of code updates whenever verified. Update dissemination relies on a novel protocol exploiting the social behavior of the monitored individuals. We evaluate our approach through simulation, using real-world animal and human traces. The results shows that our protocol is able to capture the social network structure in a way comparable to existing offline algorithms with global knowledge while allowing runtime adaptation to community structure changes, and that existing dissemination approaches based on gossip generate up to three times more network overhead than our socially-aware dissemination.

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FiGaRo: Fine-Grained Software Reconfiguration for Wireless Sensor Networks

Cited by 40 publications

References 25 publications

A Review on Run-Time Reconfigurations and Code Update Mechanisms in Wireless Sensor Networks

A Review on Run-Time Reconfigurations and Code Update Mechanisms in Wireless Sensor Networks

Optimizing sensor network reprogramming via in situ reconfigurable components

Selective Reprogramming of Mobile Sensor Networks through Social Community Detection

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