Fuzzy Logic-Based Event Notification in Sparse MANETs

In the ad-hoc info ware project, we develop a delay tolerant event notification service for sparse mobile ad-hoc networks for emergency and rescue operations. In most event notification solutions, subscriptions are formed with crisp values or crisp value ranges. Filtering mechanisms do not take into account more expressive subscriptions in terms of approximate predicates and complex aggregating relations among them. However, in emergency scenarios subscribers´ interests often have gradual nature and subjective measure. Therefore, we design an intelligent event notification system allowing uncertainties to be modeled and complex matching semantics to be processed by fuzzy reasoning. Requiring more computational efforts, fuzzy logic introduces performance penalties in the whole network. We have developed a new subscription data structure and filtering algorithms, and evaluated and optimized it for runtime and space efficiency.