Research On Deployment Algorithm In Wireless Sensor Networks

Wireless Sensor Networks (WSNS) have become an emerging technology that has a wide range of potential applications including military surveillance, environment monitoring, object tracking, scientific observing and forecasting and etc. Deployment in WSNS focuses on how to deploy the sensor nodes efficiently for the purpose of optimism of network resources, which decides the efforts of detection and the Qos of WSNS. However, there are several practical constraints in implementing various protocols and application systems. Power is identified as one of the most expensive resources. Due to the large scale and the remote or hostile environment, it is impractical to recharging or replacing power supply. Since the lifetime of a WSN directly lies on consumption of the power, efficient deployment could enhance better coverage of region of interest and prolong the lifetime of network. Based on projects undertaken by our lab, this paper following as:The structure of WSNs is introduced, this paper propose several energy-efficent ways in greenhouse detection platform.Further more, this paper propose a special routine way targeted to data-centric and special needs in greenhouse detection platform.For mobile WSN, our goal is to make maximum possible utilization of the energy of each node to prolong the lifetime of the whole network, so we change the initial random placement into a better distribution with expected coverage and uniformity of both position and energy level by self-deploying. In this paper, we firstly propose a prop ability method combined with VFA to design a new energy-efficient placement algorithm, which gains better energy efficiency. The results of simulation experiments prove that our placement algorithms have better performance on energy consumption, uniformity of both position and energy level of network, compared to the previous.