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A Light-Weight Rule Engine for Context-Aware Services
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 Title & Authors
A Light-Weight Rule Engine for Context-Aware Services
Yoo, Seung-Kyu; Cho, Sang-Young;
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Context-aware services recognize the context of situation environments of users and provide useful services according to the context for users. Usual rule-based systems can be used for context-aware services with the specified rules that express context information and operations. This paper proposes a light-weight rule engine that minimizes memory consumption for resource-constrained smart things. The rule engine manages rules at the minimum condition level, removes memories for intermediate rule matching results, and uses hash tables to store rules and context information efficiently. The implemented engine is verified using a rule set of a mouse training system and experiment results shows the engines consumes very little memory compared to the existing Rete algorithm with some sacrifice of execution time.
Context-Aware Service;Rule-Based System;Rule Engine;Rete Algorithm;
 Cited by
Internet of Things [Internet],

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