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Wireless sensor networks are widespread attention in recent years, rapid development and a new network technology, a combination of sensors, embedded computing, network communications, distributed information processing technology, with self-organizing, adaptive, data-centric features. Wireless sensor networks through the use of a large number of tiny sensor nodes self-organizing network for real-time monitoring collaborative manner, perception, and collecting various kinds of environmental or monitoring objects, and can be widely used in environmental monitoring, military defense, health care, traffic safety management and other fields , is the international information field research hotspot. Small size of the sensor nodes, leading to its communications capacity is weak, limited energy, which makes the performance of the routing algorithm for wireless sensor networks is essential, it is not only to achieve energy balance and maintain network connectivity foundation is to improve the quality of service, the key to extend the network lifetime. Based on the project demand, mainly for wireless sensor networks QoS (Quality of Service) routing algorithm research and applications. As the wireless sensor network application environment, diversity, QoS parameters during the operation of the network due to environmental changes dynamically, while the existing QoS routing algorithms are mostly theoretical research, in order to open an ideal environment for the research background, adaptive capacity is limited, in practice applications ineffective. For this feature, this practice-oriented application needs, proposes a method based on entropy coefficient adaptive QoS for wireless sensor network routing algorithm (An Entropy-based Adaptive QoS Routing, EAQR). Routing algorithm will establish procedural abstraction into a multi-attribute decision-making process, select the node load, average energy potential, communication delay as QoS evaluation properties, create multi-attribute evaluation model, the raw data is normalized to eliminate the model between each attribute can not be incommensurate, the adoption of binding Entropy changes in the QoS parameters adaptively determine the weight, choose the highest evaluation value node forwarding data. The algorithm through simulation platform OMNeT simulation results show that, compared with the classical QoS routing algorithm, EAQR parameter changes in the environment under the conditions of its various QoS parameters have achieved good performance. Proved algorithm can effectively adapt to the dynamic changes of the environment, has good adaptive capacity in the network scale also showed better scalability. Built environment exists walls, doors and other obstacles, as well as the movement of persons, such as doors and windows switch random variation, is a typical environment dynamic scenes. This article will EAQR algorithm in the built environment for application testing, design and build buildings based on wireless sensor network environment monitoring prototype system, by integrating Entropy-based wireless sensor networks adaptive QoS routing policy, the system performance testing, test Data Description, EAQR algorithm running well for complex architectural environment with good adaptive capacity, and can meet the construction environmental monitoring QoS requirements.
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