A System for Using Wireless Sensor Networks as Globally Deductive Databases

Choochaisri, Supasate; Intanagonwiwat, Chalermek

doi:10.1109/wimob.2008.22

Cited by 7 publications

(11 citation statements)

References 10 publications

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“…The centralized approach has been mentioned in [13,14] as a simple but inefficient approach. This approach is straightforward; all facts in the network must be periodically sent to the base station.…”

Section: Centralized Processing Schemementioning

confidence: 99%

“…Recently, our initial work LogicQ [13] is designed as a globally deductive database system for WSNs. The LogicQ system allows a user to write a logic macroprogram and to send a query for answers.…”

Section: Selective On-demand Processingmentioning

confidence: 99%

“…As a result, novel query-processing mechanisms are required. Recently, we have proposed LogicQ [13], a semi-centralized approach for deductive sub-query processing. Later, Gupta et al [7,14] have presented various fully-distributed approaches.…”

Section: Introductionmentioning

confidence: 99%

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An Analysis of Deductive-Query Processing Approaches for Logic Macroprograms in Wireless Sensor Networks

Choochaisri

Intanagonwiwat

2012

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Logic macroprogramming paradigms for wireless sensor networks (WSNs) are rule-based abstractions for programming a network as a whole. Programmers only focus on the main objective of the network rather than the low-level implementation details on each node. Therefore, the low-level details are automatically handled by underlying middleware of the paradigms. To be viable, the middleware must efficiently handle the underlying issues as well as effectively minimize energy consumption and communication overhead. Not surprisingly, one major underlying issue in logic macroprogramming systems is deductive-query processing. In this paper, we analyze the characteristics of deductive-query processing and identify what have been overlooked in those previous approaches. Furthermore, we overview, analyze, and compare several recent approaches for deductive-query processing of logic macroprograms in WSNs. Our analysis reveals several important aspects that should be considered when designing such systems.

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Section: Centralized Processing Schemementioning

confidence: 99%

Section: Selective On-demand Processingmentioning

confidence: 99%

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An Analysis of Deductive-Query Processing Approaches for Logic Macroprograms in Wireless Sensor Networks

Choochaisri

Intanagonwiwat

2012

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“…WNES macroprogramming has been explored earlier by several research efforts, including TinyDB [1], COUGAR [2,3], Semantic-Streams [17], and Sense2P [4,5,18]. The above node-independent abstractions propose programming WNES as a database.…”

Section: Related Workmentioning

confidence: 99%

“…In node-independent subclasses, WNES is declaratively programmed as a whole or a unit (e.g., a database). Examples of node-independent abstractions are TinyDB [1], Cougar [2,3], and Sense2P [4,5]. By abstracting a WNES as a database, WNES programming is reduced to database querying.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Macroprogramming Wireless Networks of Embedded Systems with Declarative Naming

Intanagonwiwat

2012

International Journal of Distributed Sensor Networks

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Wireless Networks of Embedded Systems (WNES) are notoriously difficult and tedious to program. The difficulty is mostly originated from low-level details in system and network programming. This includes distributedly managing and accessing resources from a dynamic set of nodes in hostile and volatile networks. To simplify WNES programming, we propose Declarative Resource Naming (DRN) that abstracts out the mentioned low-level details by programming a WNES in the large (i.e., macroprogramming). DRN provides programming simplicity, expressiveness, tunability, on-the-fly reprogrammability, and innetwork data aggregation for energy savings. None of existing macroprogramming paradigms supports all of the mentioned features. Furthermore, DRN is an integration of declarative and imperative programming. The low-level details are declaratively abstracted out, but the main algorithm remains procedural. This allows programming simplicity without an adverse impact on the expressiveness. We have implemented and evaluated DRN on two platforms: Smart Message and Maté. Our result indicates that DRN enables programmers to develop energy-efficient applications with the desired flexibility and quality.

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An autonomous intelligent gateway infrastructure for in-field processing in precision viticulture

Peres

Fernandes

Morais

et al. 2011

Computers and Electronics in Agriculture

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A System for Using Wireless Sensor Networks as Globally Deductive Databases

Cited by 7 publications

References 10 publications

An Analysis of Deductive-Query Processing Approaches for Logic Macroprograms in Wireless Sensor Networks

An Analysis of Deductive-Query Processing Approaches for Logic Macroprograms in Wireless Sensor Networks

Hybrid Macroprogramming Wireless Networks of Embedded Systems with Declarative Naming

An autonomous intelligent gateway infrastructure for in-field processing in precision viticulture

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