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In this paper we describe the Cooperative Sensor Agents (CSA), a logical framework of autonomous agents working in sensor network environments. CSA is a two-layer framework. In the first layer, called Sensor Layer, each agent controls and manages individual sensors. Agents in Sensor Layer have different capabilities depending on their functional complexity and limitation related to specific sensor nature aspects. One agent may need to cooperate in order to achieve better and more accurate performance, or need additional capabilities that it does not have. This cooperation takes place doing a coalition formation in the Second Layer (Coalition Layer) of our framework. In this paper we have proposed the CSA framework architecture and its associated protocols for coalition management. The autonomous agents are modeled using BDI paradigm and they have control over their internal state. But cooperative problem solving occurs when a group of autonomous agents choose to work together to achieve a common goal or use additional capabilities and make a coalition. We present an experimentation of the Cooperative Sensor Agents in Surveillance Systems. In this environment, the agent perception is carried out by visual sensors and the coalition is made in order to use capabilities of other autonomous agents such as recording. Each vision agent is able to detect faces and the coalition formation extending global capabilities of surveillance system using cooperative strategies.