Wireless Sensor Network 3-D Positioning Method on Energy Efficiency

Yuli Song, Hongdong Zhang
2015 International Journal of Multimedia and Ubiquitous Engineering  
Wireless sensor network (WSN) is widely used in industrial control, signal acquisition; intelligent household production and life in various aspects, such as its main communicate through wireless channel. Because of the wireless sensor network (WSN) is widely decorate, its positioning as one of the important applications. The traditional two-dimensional plane positioning has can't meet the demand. Three-dimensional positioning method has become the focus of the study, however, since most sensor
more » ... nodes in wireless sensor networks are limited energy, aiming at this problem, this paper will consider under the maximum energy efficiency of localization algorithm, under the condition of ensure the positioning precision, minimize the consumption of energy, improving energy efficiency. Simulation analysis show that the proposed algorithm effectively improves the efficiency of energy utilization, and ensure that the three dimensional positioning accuracy and stability. 50 Copyright ⓒ 2015 SERSC the communication industry. Wireless sensor network is a blend of a variety of high and new technology, represents the development trend of mobile Internet business, attaches great importance to the home and abroad. At the same time, the components of the wireless sensor network, the generalization for the "Internet of things", to human life and production mode brings revolutionary change. The Internet of things, however, the most basic, also is the most important function is positioning function, it is the foundation of other functions and applications, wireless location technology based on wireless sensor network thus became a focus in the study of academic and industrial applications. Wireless sensor network with sensor module, wireless communication module, information processing module of sensor nodes, and through the collaboration between each other, can make the real-time monitoring, awareness, and get the information they need to, with micro structure, multiple applicat ions, the characteristics of highly integrated. Wireless sensor network is automatically formed, will be in the form of node to node on the sensory information to the terminal. Therefore, wireless sensor network (WSN) can work in independent environment, can also work with the mobile Internet interconnection to complete the scene information collection. Wireless sensor network (WSN) is different from the derived from the telecom network and computer network of wireless broadband networks, such as GSM, CDMA, 3 g, 4 g and WLAN wireless broadband networks need human to complete network planning, deployment, configuration and management, etc., and wireless sensor network (WSN) is a fast and flexible self-organizing networks, this remarkable characteristic makes sensor networks need a series of new core technology, including the information fusion technology, distributed data processing technology, the appropriate routing protocol and MAC protocols, synchronization technology, positioning technology and so on. In recent years, many scholars committed to the research of wireless sensor network (WSN) key technology, this article selects the positioning technology of wireless sensor network as the main research direction. Positioning technology provides the node location information, it is an important part of the monitoring object information, and this is because there is no location information data is pointless, the location information of the generation of data routing, information fusion and other follow-up work has an important supporting role. Many applications directly using the sensor network positioning technology, such as regional environmental monitoring, field the positioning of the battlefield. So the development of wireless sensor network location technology of sensor network system has important role in promoting. In recent years, domestic and foreign scholars have proposed many positioning mechanism and a scheme of wireless sensor network (WSN), and obtained a large number of research results, but most of these schemes are based on the design and evaluation of deployment of application in two-dimensional environment to consider, and most of the locating scheme is based on four idealized conditions: one is the sensor node communication range is a circular or similar rules; network deployment 51 environment rules, flat and no obstacle plane or three-dimensional space;3 it is network is homogeneous, that is to say, the network node uniform application environment of the single;4 it is static node is the same. In addition, most of the positioning method of performance analysis and comparing only positioning accuracy, no analysis of network scale, the anchor node density and other performance metrics such as energy consumption, cannot achieve the balance between the indicators, locating method of robustness and life cycle has been destroyed. In practical applications, the sensor node generally need to put in the mountains, underwater, the air, forests and complex environments, such as high -rise buildings. These applications are included in a mountainous battlefield, a floating in the air, air pollution monitoring sensor network a forest monitoring sensor network deployment in the high and low different tree or a structure monitoring network is installed on a bridge, and so on. Under the environment of the real applications, the node layout are allocated by randomly scattered cloth in every position of the detection area, there is no guarantee that the node is uniformly distributed, the wireless signal affected by multipath, shadow, attenuation, etc. The influence of various factors, it can't be an isotropic communication range, there are a lot of communication blind zone, also inevitably appear a lot of "hot spot" areas, making the region of the node energy consumption, energy early failure is likely to happen, thus resulting in a lot of "empty" vacuum network area; Such as forest, concave/convex gravamen mountain, a large number of application environments, such as an underwater, underground, there will be some obstacles a serious impact on locating methods, the deployment area won't be the rules of two -dimensional or three-dimensional space; Many application of WSN usually require some or all of the nodes are mobile, rather than a static, such as personnel positioning and tracking, such as car networking is positioned in the applications of node mobility, network topology is dynamic changes in these environments, and to locate a node move real-time, such as energy consumption brings higher request. In the applications of the sensor nodes in the power supply, communication radius, transmission bandwidth, computing and storage capacity, etc. [7] [8] [9] [10] [11] [12] , there will be differences of these conditions is often can't meet in the practical application, is a heterogeneous network. All in all, in these real monitoring area showed the complex network topology characteristics, so for node positioning technology under complicated environment research is imminent. Most of the locating scheme, especially the 3 d localization algorithm, are mostly based on the idealized model is derived, thus ignore the restrictions of the actual deployment environment, for example, each of the wireless sensor network node energy is limited, so most of the algorithms are pay attention to the performance of positioning accuracy and stability, is positioning accuracy and stability are the direct target localization algorithm parameters; But ignores the non-ideal factors such as the algorithm implementation of energy consumption, and the influence of the positioning performance, obviously its localization algorithm also does not have practical, therefore, in the light of the topological structure of complex cases, adopt 52 Copyright ⓒ 2015 SERSC the method of optimization of function optimization, improve the localization accuracy of nodes, reducing the consumption of energy, especially restrictions, the power consumption of each node is the optimization objective function of the characteristics and advantages. 59 20 dB to -10 dB, the positioning error rate is lower than the literature [9] of the proposed algorithm. When large signal noise ratio (SNR), two schemes of positioning precision flat, but this plan still have a little advantage.
doi:10.14257/ijmue.2015.10.9.06 fatcat:nsjdhmznjbepzdpfbf5s63nfyy