21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07) 2007
DOI: 10.1109/ainaw.2007.194
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Fuzzy Logic-Based Event Notification in Sparse MANETs

Abstract: In the Ad-Hoc InfoWare 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 … Show more

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Cited by 4 publications
(4 citation statements)
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“…Another distinction from the work of Baldoni et al is that while SIENA is a content based Publish/Subscribe system, Web service Publish/Subscribe specifications adhere to a topic based scheme. (Lekova et al, 2007) have created a distributed event notification system (DENS) for MANETs. They developed a fuzzy logic based subscription language allowing expressive subscriptions and sophisticated event filtering.…”
Section: Related Workmentioning
confidence: 99%
“…Another distinction from the work of Baldoni et al is that while SIENA is a content based Publish/Subscribe system, Web service Publish/Subscribe specifications adhere to a topic based scheme. (Lekova et al, 2007) have created a distributed event notification system (DENS) for MANETs. They developed a fuzzy logic based subscription language allowing expressive subscriptions and sophisticated event filtering.…”
Section: Related Workmentioning
confidence: 99%
“…Equ.10 shows the defuzzification functions for f. The defuzzification method uses the center-of-maximum (CoM), where x i is the input, p is the number of rules, and f is the output [19]. Mamdani type fuzzy controller uses a range of input variables for making membership function [20] as shown in Fig.…”
Section: Fuzzy Logicmentioning
confidence: 99%
“…The idea that a publication has a degree of relevance to a subscription, instead of simply being matching or nonmatching, is not a new one [22,24,23,8,31,20]. Liu and Jacobsen [22,24,23] introduced the degree of relevance in publish/subscribe systems.…”
Section: Related Workmentioning
confidence: 99%
“…[31] deal with the uncertainties in the tuple space model. Lekova et al [20] use fuzzy reasoning for filtering and matching of numerical values in publications to imprecise data in subscriptions.…”
Section: Related Workmentioning
confidence: 99%