Another type of redundancy may be referred to as time-related redundancy. For example, the information collected, represented, and transmitted by one sensor 110 may contain a portion that varies with time and another portion that is substantially time-invariant. In the present disclosure, time-invariant may refer to information that is substantially unchanged for at least a defined duration of time (e.g., for one hour), or that is very slowly changing such that the information is statistically unchanged for the defined duration of time. In other words, the term time-invariant, as used in the present disclosure, may encompass information that is not strictly time-invariant for all time. Conventionally, both time-varying and time-invariant information are transmitted equally, because it is typically hard to distinguish between time-varying and time-invariant information in a given transmission, especially when no prior knowledge about statistic and structural properties of the information source is available. Some attempts have been made to reduce time-related redundancy, for example using compressive sensing technology. However, compressive sensing technology is typically reliant on a good understanding of the characteristics of the information source (e.g., size, dimension, statistic property, structural property, worst case, average case and so on), typically requires a large amount of simulations to validate the compression parameters, and typically requires specific constraints on the format of the information source that must be universality adopted. It is expected that such detailed characterization of information source in M2M communications would likely be unavailable. Further, it is expected that new types and unpredicted types of information source would be introduced. In practical implementation, it is not feasible to customize a set of compressive sensing parameters for every possible information source in the future. As will be discussed further below, the present disclosure provides an approach to information collection and transmission that enables reduction of time-related redundancy, without requiring detailed knowledge about the information source.