A Traffic Reducing Method for Multiple Targets Localisation in an IEEE 802.15.4 Based Sensor Network
A Traffic Reducing Method for Multiple Targets Localisation in an IEEE 802.15.4 Based Sensor Network
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基于 IEEE 802.15.4 的传感器网络中多目标定位的流量减少方法
DOI：
10.1109/vtcf.2006.515
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
K. Kitayama
中科院分区：
文献类型：
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作者：
R. Zemek;Dapeng Zhao;M. Takashima;S. Hara;K. Yanagihara;K. Fukui;S. Fukunaga;K. Kitayama
无线传感器网络的许多应用都需要协同处理数据，并同时对多个节点的信息进行组合。其中一个应用是定位和跟踪，其中来自许多节点的信息被同时处理以准确估计目标的位置。然而，在基于接收信号强度指标（RSSI）的集中式定位和跟踪应用中，锚节点将其测量的RSSI信息转发给控制中心，无线通信链路的窄带宽限制了转发给控制中心的数据量。因此，随着目标节点数量的增加，它无法接收到锚节点的所有数据，因此无法估计所有目标的位置。因此，我们提出了一种基于限制转发的RSSI信息的流量减少方法，并通过使用最大似然估计在真实环境中定位目标位置来评估所提出的方法。结果表明，在不严重影响估计精度的情况下，流量负载减少了50%到80%。此外，在某些情况下也提高了定位估计的精度。
Many applications of wireless sensor networks require to process data cooperatively and to combine information from multiple nodes simultaneously. One of such applications is localisation and tracking where information from many nodes is processed at the same time to accurately estimate targets' positions. However, in case of centralised localisation and tracking applications based on received signal strength indicator (RSSI), where the anchor nodes forward their measured RSSI information to a control centre, the narrow bandwidth of wireless communication link limits the amount of data being forwarded to the control centre. As a result, it cannot receive all the data from the anchor nodes as the number of target nodes increases, and therefore cannot estimate all targets' positions. Thus, we propose a traffic reducing method based on limiting the RSSI information being forwarded and evaluate the proposed method by localising target positions in real environments using maximum likelihood estimation. The results show between 50% and 80% traffic load reduction without severely affecting the estimation accuracy. In addition, the location estimation accuracy is improved at some cases.