Abstract
Data fusion is an important area in different fields of applications as it provides a detailed analysis of the data store which helps in analytics and decision support system. Among the numerous Data Fusion models available in literature, the six pioneer pieces of work in terms of Data Fusion Models are – Waterfall Model, Multisensor Integration Fusion Model, Behavioral Knowledge-based Data Fusion Model, Omnibus Model, Dasarathy Model and JDL Model. In this paper, we have given a comparative study of the above models based on basic features like signalling overhead, power consumption, fault tolerance, survivability and robustness facilities subsequently. Here, a new improved model, named Community Model has been proposed for better throughput in terms of Data Transmission Time (DTT). This model can be applied to any number of filter levels irrespective of application areas. Keywords—Community Model; Master Fusion Filter; Reference Sensor; Data Transmission Time; Fusion Domain; Situation Filtration; Impairment minimization; Information Fusion; State Fusion
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