Environmental safety is the main point among the Human Rights, and health care is the first task for all mankind. Obviously, there are serious achievements in modern science and technology; however, some threats from the external environment, particularly from high risk industrial projects are still the world problem. Technological monitoring should be conditioned by the large scale spatially distributed homogeneous or heterogeneous environment with dynamic diffusion processes. Multi mobile sensor systems are reconfigurable wireless networks of distributed autonomous devices that can sense or monitor physical or environmental conditions cooperatively. Intelligent sensors and sensor networks have an important impact in meeting environmental challenges. Agents interact (communicate, coordinate, negotiate) with each other, and with their environment. Usually, in a multi-agent system, interaction dynamics between an agent and its environment lead to emergent structure or emergent functionality. To be effective, multi-agent systems must yield coordinated behavior from individually autonomous actions. This paper describes a new approach to providing smart sensor system capabilities in a monitoring and control within a studied area. The key technologies, which are based on the paradigm usually called Swarm Intelligence (SI), focus on mutual coordinated or collective behaviors and adaptive topological self-reconfiguration of swarm sensors. The SI paradigm is based on the observation of the complex behavior of many social-insects society (ants, bees, wasps, termites,...) in which the system properties emerge from local interactions between elementary actions of single agents. Control of reconfigurable sensor networks is fundamentally a difficult problem in which the system must balance issues of power usage, communication versus control, the effectiveness of adapting to the environment as well as to changing science requirements. Introducing the new concept of entropy as an unconformity between the landscape of measuring factors' frequency distribution and sensor swarm spatial distribution is a novel approach for sensory systems' management and control. In the given context, sensor networks' dynamic reconfiguration, and from a systemological viewpoint with the idea of fitness-function, the optimization problem of swarm shaping can be resolved by the criterion of entropy minimization.