Description: 关于现有的基于WLAN，蓝牙以及RFID等的定位算法的综述和系统比较。是content-aware下的新兴的应用领域，有很大发展空间-Location, Localization, and Localizability
Location-aware technology spawns numerous unforeseen pervasive applications in a wide range of living, pro-
duction, commence, and public services. This article provides an overview of the location, localization, and localizability
issues of wireless ad-hoc and sensor networks. Making data geographically meaningful, location information is essential for
many applications, and it deeply aids a number of network functions, such as network routing, topology control, coverage,
boundary detection, clustering, etc. We investigate a large body of existing localization approaches with focuses on error
control and network localizability, the two rising aspects that attract signi¯ cant research interests in recent years. Error
control aims to alleviate the negative impact of noisy ranging measurement and the error accumulation e® ect during coope-
rative localization process. Network localizability provides theoretical analysis on the per Platform: |
Size: 7166976 |
Author:xuchen |
Hits:
Description: 本文提出一种基于多维定标的无线传感器网络三维定位算法,结合RSS经验衰减模型和最短路径建立相异性矩阵,采用轻量级矩阵分解算法降低相异性矩阵分解的计算复杂性,并利用网络中存在的周期性消息将初始定位信息回送,在后台使用迭代优化算法对初始定位结果求精。仿真实验表明,在测距误差一定的情况下,该算法能够提高节点三维坐标的初始计算精度,经过集中式的优化求精后与MDS-MAP算法相比,能够明显地提高节点三维定位的精度-This paper presents a method based on multidimensional scaling in wireless sensor network positioning algorithm, combined with RSS experience attenuation model and the shortest path to establish dissimilarity matrix, using lightweight matrix factorization algorithm reduces computational complexity dissimilarity matrix decomposition, and the use of the network in the presence of periodic messages will be the initial positioning information return, in the background using an iterative optimization the algorithm to the initial positioning results refinement. Simulation results show that, in some cases ranging error, this algorithm can improve the calculation accuracy of three-dimensional coordinates of the initial node, through the centralized optimization refinement after compared with MDS-MAP algorithm, which can obviously improve the precision of 3D Node Localization Platform: |
Size: 185344 |
Author:于文娟 |
Hits:
Description: A wireless sensor network may comprise thousands of sensor nodes. Each sensor node has a sensing
capability as well as limited energy supply, compute power, memory and communication ability. Besides military applications, wireless sensor networks may be used to monitor microclimates and wildlife habitats [56], the structural integrity of bridges and buildings, building security, location of valuable assets (via sensors placed on these valuable assets), traffic, and so on. However, realizing the full potential of wireless sensor networks poses myriad research challenges ranging from hardware and architectural issues, to programming languages and operating systems for sensor networks, to security concerns, to algorithms for sensor network deployment, operation and management. Iyengar and Brooks [26, 27] and Culler and Hong [12] provide good overviews of the breadth of sensor network research topics as well as of applications for sensor networks. Platform: |
Size: 205824 |
Author:ahmad |
Hits:
Description: 一种无需测距的无线传感网络定位算法，结合了质心算法和HOP两种算法的优点-A no-ranging wireless sensor network localization algorithm that combines the centroid algorithm and the advantages of the two algorithms HOP Platform: |
Size: 7168 |
Author:萧秦首 |
Hits:
Search - wireless sensor network ranging