On-demand software management in sensor networks using profiling techniques

Abstract-Code updates, such as those for debugging purposes, are frequent and expensive in the early development stages of wireless sensor network applications. We propose AdapCode, a reliable data dissemination protocol that uses adaptive network coding to reduce broadcast traffic in the process of code updates. Packets on every node are coded by linear combination and decoded by Gaussian elimination. The core idea in AdapCode is to adaptively change the coding scheme according to the link quality. Our evaluation shows that AdapCode uses up to 40% less packets than Deluge in large networks. In addition, AdapCode performs much better in terms of load balancing, which prolongs the system lifetime, and has a slightly shorter propagation delay. Finally, we show that network coding is doable on sensor networks in that (i) it imposes only a 3 byte header overhead, (ii) it is easy to find linearly independent packets, and (3) Gaussian elimination needs only 1KB of memory.

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“…It is heavily used for network code upload [2] [19]. It can disseminate data with 100% reliability at nearly 90 bytes/second.…”

Section: Related Workmentioning

confidence: 99%

AdapCode: Adaptive Network Coding for Code Updates in Wireless Sensor Networks

Hou

Tsai

Abdelzaher

et al. 2008

IEEE INFOCOM 2008 - The 27th Conference on Computer Communications

116

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“…Most work on analyzing the software for sensornets has been focused on verifying or understanding the network communication (e.g., [2,4]), or analyzing and predicting power consumption and duty cycles (e.g., [12,14]). There is just beginning some work in tools for assertion checking and correctness checking [1,10].…”

Section: Related Workmentioning

confidence: 99%

Lightweight monitoring of sensor software

Hammad

Cook

2009

Proceedings of the 2009 ACM Symposium on Applied Computing

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Wireless sensors are very small computers, and understanding the timing and behavior of software written for them is crucial to ensuring that they perform correctly. This paper outlines a lightweight method for gathering behavioral and timing information from simulated executions of software written in the nesC/TinyOS environment. The resulting data is used to generate both behavioral and timing profiles of the software, using UML sequence diagrams to visualize the behavior and to present the timing information.

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“…In the system that we developed in our lab [26], code fragments for TinyOS programs are written in nesC. Specific profiles as discussed previously are connected to these fragments in order to describe functionality and utilization.…”

Section: Profile-matching For Code Generationmentioning

confidence: 99%

Robust and Efficient Software Management in Sensor Networks

Schröder-Preikschat

Kapitza

Kleinöder

et al. 2007

2007 2nd International Conference on Communication Systems Software and Middleware

Self Cite

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Abstract-Software deployment and updating of deployed code is a critical topic in the area of wireless sensor networks (WSN). Reasons are unreliable network connectivity, resource limitations of devices, and energy restrictions in general. Consequently, software deployment has to be performed with great care otherwise resources might be wasted or nodes become unavailable due to failed updates. The overall objective for software management in sensor networks is to enable a robust and efficient way to build deployable software images that take into account all the needs from application requirements to node-specific resource restrictions. In this article, we outline the current state-of-theart for software management in WSN and (network-based) sensor network (re-)programming. We provide insights into three different approaches enabling a more comprehensive management of WSN while challenging the robustness and efficiency of software configurations and reprogramming. Additionally, we outline research challenges in the area of software management and sensor network operation.

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On-demand software management in sensor networks using profiling techniques

Cited by 7 publications

References 6 publications

AdapCode: Adaptive Network Coding for Code Updates in Wireless Sensor Networks

AdapCode: Adaptive Network Coding for Code Updates in Wireless Sensor Networks

Lightweight monitoring of sensor software

Robust and Efficient Software Management in Sensor Networks

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