Robust Hierarchical Data Fusion Scheme for Large-Scale Sensor Network
نویسندگان
چکیده
منابع مشابه
Scalable and Robust Scheme for Data Fusion in Sensor Networks
In wireless sensor networks, hundreds or thousands of microsensors are deployed in an uncontrolled way to monitor and gather information of environments. Sensor nodes have limited power, computational capacities, memory, and communication capability. In this paper, we propose a novel scheme for data fusion where sensored information periodically propagates without any centralized control from t...
متن کاملHierarchical Data Gathering Scheme for Energy Efficient Wireless Sensor Network
Compressive Data Gathering (CDG) has recently emerged to provide energy efficient data aggregation in wireless sensor networks (WSNs). Existing CDG is done by forming a span-tree from all sensors to the data sink, which leads to a lot of energy consumption in maintain this tree. In this paper, we present a clustering based CDG scheme for largescale WSNs. This scheme reduces traditional network ...
متن کاملNew Data Gathering Scheme for Large Scale Wireless Sensor Networks
Wireless Sensor Networks (WSNs) is getting larger in size and coverage area. Currently, some WSNs are having thousands of sensor nodes deployed to monitor critical regions or watch out for ecological phenomenon. Large Scale WSNs place strong challenges on many aspects of network modeling, deployment, protocols, and data gathering. Existing policies and techniques in WSNs need to be scaled effic...
متن کاملEffective Data Aggregation Scheme for Large-scale Wireless Sensor Networks
Energy preservation is one of the most important challenges in wireless sensor networks. In most applications, sensor networks consist of hundreds or thousands nodes that are dispersed in a wide field. Hierarchical architectures and data aggregation methods are increasingly gaining more popularity in such large-scale networks. In this paper, we propose a novel adaptive Energy-Efficient Multi-la...
متن کاملDistributed Signal Processing and Data Fusion Methods for Large Scale Wireless Sensor Network Applications
In this PhD dissertation we study the problem of continuous object tracking using large scale WSNs. We propose a novel practical WSN-based scheme that is able to track and predict the evolution behavior of a continuous object’s boundary under realistic assumptions. The proposed scheme consists of two main components: a) A collaborative innetwork WSN algorithm that estimates the local evolution ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Sensor Science and Technology
سال: 2017
ISSN: 1225-5475
DOI: 10.5369/jsst.2017.26.1.1