Mobile Sensor Network Data Management

Formally, given a set of n homogenous or heterogeneous mobile sensors {s1, s2, ..., sn} that are capable to acquire m physical attributes {a1, a2, ..., am} from their environment at every discrete time instance t (i.e., data has a temporal dimension), an implicit or explicit mechanism that enables each si (i ≤ n) to move in some multi-dimensional Euclidean space (i.e., data has one or more spatial dimensions), MSN Data Management provides the foundation to handle spatio-temporal data in the form (si, t, x, [y, z, ]a1[, ..., am]), where x, y, z defines three possible spatial dimensions and the bracket expression “[ ]” denotes the optional arguments in the tuple definition. In a more general perspective, MSN Data Management deals with algorithms, architectures and systems for in-network and out-ofnetwork query processing, access methods, storage, data modeling, data warehousing, data movement and data mining.