Towards in-network aggregation for people-centric sensing

Technological advances in the smartphone sector give rise to people-centric sensing that uses the sensing capabilities of mobile de- vices and the movement of their human carriers to satisfy the ever in- creasing demand for context information. The quick adoption of such pervasive and mobile services, however, increases the number of con- tributors, strains the device-to-server connections, and challenges the system's scalability. Strategies that postpone load balancing to xed in- frastructure nodes miss the potential of mobile devices interconnecting to preprocess sensor data. This paper explores opportunistic service compo- sition to coordinate in-network aggregation among autonomous mobile data providers. The composition protocol defers interaction with peers to the latest possible moment to accommodate for the dynamics in the ope- rating environment. In simulations such an approach achieves a higher composition success ratio at similar or less delay and communication e ort than an existing conventional composition solution