Geographic location of nodes is very useful in a sensor network. Previous localization algorithms assume that there exist some anchor nodes in this kind of network, and then other nodes are estimated to create their coordinates. Once there are not anchors to be deployed, those localization algorithms will be invalidated. Many papers in this field focus on anchor-based solutions. The use of anchors introduces many limitations, since anchors require external equipments such as global position system, cause additional power consumption. A novel positioning algorithm is proposed to use a virtual coordinate system based on a new concept--virtual anchor. It is executed in a distributed fashion according to the connectivity of a node and the measured distances to its neighbors. Both the adjacent member information and the ranging distance result are combined to generate the estimated position of a network, one of which is independently adopted for localization previously. At the position refinement stage the intermediate estimation of a node begins to be evaluated on its reliability for position mutation; thus the positioning optimization process of the whole network is avoided falling into a local optimal solution. Simulation results prove that the algorithm can resolve the distributed localization problem for anchor-free sensor networks, and is superior to previous methods in terms of its positioning capability under a variety of circumstances. 相似文献
Based on the land use (LU) (in 1985 and 2000) and road networks (RN) data in the Longitudinal Range-Gorge Region (LRGR), ecosystem services value (ESV) loss under the disturbance of road networks was estimated by using landscape degradation index (LDI) to clarify the effects of human activities on ecosystem service function (ESF). Results show that the ESV decreased more than 65×108 Yuan (RMB) due to the transformation of ecosystems in the study area during the past 16 years. The ecosystems influenced by road networks of different grades account for 5.4% of the total land in the study area. The ecosystems lost their ESV of 1900×108 Yuan (RMB) by the disturbance of RN. The effect of RN on the ESV decreased exponentially. The forecast shows that ESV will be decreased 1.2%/a on average in 2010 and 2020 due to RN projects. The effect of ecosystem structure change on ESV was complex and nonlinear. The disturbance of RN, one of the human activities influencing ESF is considered, further study and new method should be developed to accurately estimate the loss of ESV and the ecosystem function.
