Optimizing Sensor Network Reprogramming via In-situ Reconfigurable Components

Abstract : 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 article, 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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ACM Transactions on Sensor Networks, Association for Computing Machinery, 2013, 9 (2), pp.1-37
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Amirhosein Taherkordi, Frédéric Loiret, Romain Rouvoy, Frank Eliassen. Optimizing Sensor Network Reprogramming via In-situ Reconfigurable Components. ACM Transactions on Sensor Networks, Association for Computing Machinery, 2013, 9 (2), pp.1-37. 〈hal-00658748〉

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