In Wireless Sensor Networks, personalization has been seen by researchers as the process of tailoring services to fulfill requests of different users with different profiles. This vision ignores that individual sensors commonly have different profiles and contexts and therefore different needs. In this paper, we aim at extending personalization by allowing sensors to support each other with services that mutually fit their differences. To this end, we propose an agent-based framework where sensor nodes delegate software agents (static or mobile) to collect valuable data about the neighboring sensors and the spatial characteristics of their surrounding environments. We also show how this framework may be used to make the routing process more convenient for relying nodes in terms of energy consumption and security.
Sahli, N., Jabeura, N., & Badra, M. (2015). Agent-based framework for sensor-to-sensor personalization. Journal of Computer and System Sciences, 81(3), 487–495. https://doi.org/10.1016/j.jcss.2014.11.005