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    • 133. 发明申请
    • METHOD FOR EQUITABLE PLACEMENT OF A LIMITED NUMBER OF SENSORS FOR WIDE AREA SURVEILLANCE
    • 用于宽范围监测的传感器的有限数量的公平放置方法
    • WO2008100604A1
    • 2008-08-21
    • PCT/US2008/002067
    • 2008-02-14
    • TELCORDIA TECHNOLOGIES, INC.LUSS, Hanan
    • LUSS, Hanan
    • G06F17/50
    • G08B25/016G08B21/12G08B25/009H04W16/18
    • A limited number of sensors are placed at selected locations in order to achieve equitable coverage levels to all locations that need to be monitored The coverage level provided to any specific location depends on all sensors that monitor the location and on the properties of the sensors, including probability of object detection and probability of false alarm These probabilities may depend on the monitoring and monitored locations An equitable coverage to all locations is obtained by finding the lexicographically largest vector of coverage levels, where these coverage levels are sorted in a non-decreasing order The method generates a lexicographic maximin optimization model whose solution provides equitable coverage levels In order to facilitate computations, a nonlinear integer optimization model is generated whose solution provides the same coverage levels as the lexicographic maximin optimization model
    • 有限数量的传感器放置在选定的位置,以便实现所有需要监控的位置的公平的覆盖水平提供给任何特定位置的覆盖水平取决于监测传感器位置和属性的所有传感器,包括 对象检测的概率和误报概率这些概率可能取决于监测和监测的位置通过找到覆盖水平的字面上最大的覆盖水平向量获得对所有位置的公平覆盖,其中这些覆盖水平以非递减顺序排序。 方法生成一个词典最大化优化模型,其解决方案提供公平的覆盖水平为了便于计算,生成一个非线性整数优化模型,其解决方案提供与词典最大化优化模型相同的覆盖水平
    • 135. 发明申请
    • DEMAND-DRIVEN PRIORITIZED DATA STRUCTURE
    • 需求驱动的优先数据结构
    • WO2008066788A2
    • 2008-06-05
    • PCT/US2007/024394
    • 2007-11-27
    • TELCORDIA TECHNOLOGIES, INC.LAU, RichardKIM, HeeChangSIEGELL, Bruce
    • LAU, RichardKIM, HeeChangSIEGELL, Bruce
    • G01R31/08
    • H04L47/10H04L47/14H04L47/2433H04W40/20H04W40/248H04W84/18Y02D70/142Y02D70/164Y02D70/22Y02D70/38
    • A system and method for optimizing the efficiency of data sharing among a set of radio nodes in a radio environment is provided. The technique includes identifying a data unit and assigning it a class, identifying a connectivity type, computing a significance factor based on connectivity type and assigned class, mapping the significance factor to a priority factor, and scheduling output of the data unit based on the priority factor. A scheduler algorithm can be used for scheduling output. The class can be assigned based on which nodes of the set of radio nodes possess copies of the data unit at a given time. An arbitration process can be used to determine the priority factor. A significance factor weighting algorithm, based on how many nodes will be receiving the data and on how much a node needs the data, can be used to determine the significance factor.
    • 提供了用于优化无线电环境中的一组无线电节点之间的数据共享的效率的系统和方法。 该技术包括识别数据单元并为其分配类别,识别连接类型,基于连接类型和分配的类别计算显着性因子,将显着性因子映射到优先级因子,以及基于优先级调度数据单元的输出 因子。 调度程序算法可用于调度输出。 可以基于该组无线电节点的哪些节点在给定时间拥有数据单元的副本来分配该类。 仲裁过程可以用来确定优先级因子。 基于有多少节点将接收数据以及节点需要多少数据的有效因子加权算法可用于确定显着性因子。
    • 137. 发明申请
    • DYNAMIC NETWORK SELECTION USING KERNELS
    • 使用KERNELS动态网络选择
    • WO2008054800A2
    • 2008-05-08
    • PCT/US2007/023038
    • 2007-10-31
    • TELCORDIA TECHNOLOGIES, INC.LYLES, BrianGOPALAKRISHNAN, PraveenKIM, ByungsukVAN DEN BERG, Eric
    • LYLES, BrianGOPALAKRISHNAN, PraveenKIM, ByungsukVAN DEN BERG, Eric
    • H04Q7/00
    • H04W36/30H04W36/24
    • A method for determining whether to perform vertical handoff between multiple network. The method comprises obtaining a plurality of selection metrics for each network, calculating, for each of the other communication networks, a predicted utility value from at least the corresponding plurality of selection metrics using a variable kernel regression function, obtaining, for the current communication network, a second plurality of selection metrics; calculating a second predicted utility value for the current communication network from at least the corresponding second plurality of selection metrics using a second variable kernel regression function, comparing each of the predicted utility values for each of the plurality of other communication networks with the second predicted utility value and switching to one of the other communication networks having the highest predicted utility value, if the highest predicted utility value is greater than the second predicted utility value.
    • 一种用于确定是否在多个网络之间执行垂直切换的方法。 该方法包括获得每个网络的多个选择度量,对于每个其他通信网络,使用可变内核回归函数从至少相应的多个选择度量计算预测效用值,获得当前通信网络 ,第二多个选择度量; 使用第二可变内核回归函数从至少相应的第二多个选择度量计算当前通信网络的第二预测效用值,将多个其他通信网络中的每一个的预测效用值与第二预测效用 并且如果最高预测效用值大于第二预测效用值,则切换到具有最高预测效用值的其他通信网络之一。