Abstract. To implement a maintenance free and reliable sensor network is necessary in complex sensor systems nowadays. There are studies, which can control developers, who want to build an autonomous sensor network in a dynamically changing environment. The existing solutions have several drawbacks because of the diversity and complexity of the wireless type sensor networks. This paper introduces a sensor network architecture model, which is a good base to implement a simulation environment for the systems before implementing them. The introduced features make the possibility to fine-tune the operational parameters during the planning phase. In this way, the presented sensor network architecture is working based on the presented roles to provide its services.Keywords: role based, wireless sensor networks, sensors, sensor architecture model, maintenance free sensor networks, dynamic sensor network environment.
IntroductionNowadays, one of the main problems in sensor networks is to solve the problems that arise from network and resources maintenance. We need to optimize the efficiency and reliability of the systems. The main goal of a sensor networkis to gather measurement data from the environment. From a processing system point of view, it is a loss to maintain this kind of network. If the sensor network can handle these functions alone, then the processing network operation can be more reliable. There are two different control types. One, is a centralized control method, where the processor entities provide network guidance. These networks are more common than a non-centralized system, because the maintenance is taken on one side only, so problems and network errors are easier to recognize and repair. Therefore, most solutions use centralized control method based configuration. In the current literature there are several system models and maintenance algorithms presented, which can handle large sensor networks. The main goal of these models is to verify system channels and other items in a fast and reliable fashion. The center of the * This work was supported by TÁMOP-4.2.1/B-09/1/KMR-2010-0002.