Building Wireless Sensor Network Applications with LooCI

Joosen, Wouter; Hughes, Danny; Thoelen, Klaas; Horré, Wouter; Matthys, Nelson; Cid, Javier Del; Michiels, Sam; Huygens, Christophe; Ueyama, Jó

doi:10.4018/jmcmc.2010100103

Cited by 16 publications

(36 citation statements)

References 25 publications

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“…Examples include scientific monitoring (e.g., monitoring wildlife habitats [19], zebras [16] and glaciers [20]), detecting emergency situations (e.g., detecting intrusions [2], forest fires [12] and river floodings [15]), as well as more active ones such as controlling heating-and air conditioning systems [7].…”

Section: Discussionmentioning

confidence: 99%

CrimeSPOT : A language and runtime for developing active wireless sensor network applications

Roover

Scholliers

Amerijckx

et al. 2013

Science of Computer Programming

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Advances in wireless sensing and actuation technology allow embedding significant amounts of application logic inside wireless sensor networks. Such active WSN applications are more autonomous, but are significantly more complex to implement. Event-based middleware lends itself to implementing these applications. It offers developers fine-grained control over how an individual node interacts with the other nodes of the network. However, this control comes at the cost of event handlers which lack composability and violate software engineering principles such as separation of concerns. In this paper, we present CrimeSPOT as a domain-specific language for programing WSN applications on top of event-driven middleware. Its node-centric features enable programming a node's interactions through declarative rules rather than event handlers. Its network-centric features support reusing code within and among WSN applications. Unique to CrimeSPOT is its support for associating application-specific semantics with events that carry sensor readings. These preclude transposing existing approaches that address the shortcomings of event-based middleware to the domain of wireless sensor networks. We provide a comprehensive overview of the language and the implementation of its accompanying runtime. The latter comprises several extensions to the Rete forward chaining algorithm. We evaluate the expressiveness of the language and the overhead of its runtime using small, but representative active WSN applications.

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Section: Discussionmentioning

confidence: 99%

CrimeSPOT : A language and runtime for developing active wireless sensor network applications

Roover

Scholliers

Amerijckx

et al. 2013

Science of Computer Programming

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“…To demonstrate optimized security of remote interaction, the loosely coupled component infrastructure (LooCI) is used, a lightweight run‐time reconfigurable component model designed for networked embedded systems such as WSNs. The binding model of LooCI is event based, and the interaction model follows the publish/subscribe paradigm.…”

Section: Research Prototypesmentioning

confidence: 99%

Optimizing resource and data security in shared sensor networks

Huygens

Matthys

Joosen

2011

Security Comm Networks

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A growing number of deployments of wireless sensor networks (WSNs) position the nodes as multipurpose albeit limited platforms. These platforms offer services to a set of applications of different owners. This view introduces security problems complementary to protection against outsiders requiring mechanisms beyond the existing physical, base crypto and network-level protection. Limited trust in the different applications mandates a security solution providing granular control over resources and data. Because of the constrained nature of network-embedded systems, transferring solutions from the distributed systems domain to the embedded system requires optimization. Distributed monitors can provide adequate security but must be concise and controllable by lightweight run-time artifacts as well as be deployed only where needed. Presented research consists of an operational model that inserts controls by instrumentation of local or remote interaction in the resource-rich back end, subsequently enforcing control at the nodes by using scaled down policy engines. The selective injection is achieved through aspect-oriented techniques. The solution is demonstrated for two paradigms encountered when building WSN applications, thus achieving local resource protection and protection of distributed eventbased data flow. The costs and benefits of the selective injection approach are validated and quantified through a river monitoring case and associated simulation experiments.

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“…Note that over-the-air programming is out of scope of this article. Protocols for reprogramming wireless nodes via the PAN interface are discussed in [18][19][20]. In our use case, firmware upgrades of MoCo Devices and MoCo Routers can be done via the WAN connection.…”

Section: Design Goals Of Pluralismacmentioning

confidence: 99%

PluralisMAC: a generic multi-MAC framework for heterogeneous, multiservice wireless networks, applied to smart containers

Mil

Ruckebusch

Hoebeke

et al. 2012

J Wireless Com Network

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Developing energy-efficient MAC protocols for lightweight wireless systems has been a challenging task for decades because of the specific requirements of various applications and the varying environments in which wireless systems are deployed. Many MAC protocols for wireless networks have been proposed, often custommade for a specific application. It is clear that one MAC does not fit all the requirements. So, how should a MAC layer deal with an application that has several modes (each with different requirements) or with the deployment of another application during the lifetime of the system? Especially in a mobile wireless system, like Smart Monitoring of Containers, we cannot know in advance the application state (empty container versus stuffed container). Dynamic switching between different energy-efficient MAC strategies is needed. Our architecture, called PluralisMAC, contains a generic multi-MAC framework and a generic neighbour monitoring and filtering framework. To validate the real-world feasibility of our architecture, we have implemented it in TinyOS and have done experiments on the TMote Sky nodes in the w-iLab.t testbed. Experimental results show that dynamic switching between MAC strategies is possible with minimal receive chain overhead, while meeting the various application requirements (reliability and low-energy consumption).

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Building Wireless Sensor Network Applications with LooCI

Cited by 16 publications

References 25 publications

CrimeSPOT : A language and runtime for developing active wireless sensor network applications

CrimeSPOT : A language and runtime for developing active wireless sensor network applications

Optimizing resource and data security in shared sensor networks

PluralisMAC: a generic multi-MAC framework for heterogeneous, multiservice wireless networks, applied to smart containers

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