The rapid diffusion of heterogeneous forms of wire- less connectivity is pushing the tremendous growth of the commercial interest in mobile services, i.e., dis- tributed applications to portable wireless terminals that roam during service provisioning. In the case of both location-dependent mobile services and mobile services with session continuity requirements, there is a growing need for decentralized and lightweight solu- tions to predict cell handovers, in order to enable pro- active service management operations that anticipate actual terminal reconnections at their newly visited cells. The paper discusses how to predict client hand- overs between IEEE 802.11 cells in a portable and completely decentralized way, only by exploiting RSSI monitoring and with no need of external global posi- tioning systems. In particular, the paper focuses on proposing and comparing different filtering techniques for mitigating Received Signal Strength Indication abrupt fluctuations. Experimental results point out that i) filtering techniques can relevantly improve the effi- ciency and effectiveness of handover prediction, and ii) the choice of the most appropriate filtering solution to adopt should be made at provisioning time depending on specific service/system requirements, e.g., privileg- ing minimum overhead vs. greater prediction proactiv- ity.