TDL: Two-dimensional localization for mobile targets using compressive sensing in wireless sensor networks

2016 ◽  
Vol 78 ◽  
pp. 45-55 ◽  
Author(s):  
Baoming Sun ◽  
Yan Guo ◽  
Ning Li ◽  
Laixian Peng ◽  
Dagang Fang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Compressive Sensing ◽  
Wireless Sensor ◽  
Two Dimensional ◽  
Mobile Targets

scholarly journals CS2-Collector: A New Approach for Data Collection in Wireless Sensor Networks Based on Two-Dimensional Compressive Sensing

Sensors ◽  
2016 ◽  
Vol 16 (8) ◽  
pp. 1318 ◽  
Author(s):  
Yong Wang ◽  
Zhuoshi Yang ◽  
Jianpei Zhang ◽  
Feng Li ◽  
Hongkai Wen ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Compressive Sensing ◽  
Wireless Sensor ◽  
Two Dimensional ◽  
New Approach

Compressive Sensing for Wireless Sensor Networks

2012 ◽  
pp. 379-395 ◽  
Author(s):  
Mohammadreza Mahmudimanesh ◽  
Abdelmajid Khelil ◽  
Neeraj Suri
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Compressive Sensing ◽  
Wireless Sensor

Sensor Data Geographic Forwarding in Two-Dimensional and Three-Dimensional Spaces

2017 ◽  
pp. 317-352
Author(s):  
Habib M. Ammari ◽  
Amer Ahmed
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Three Dimensional ◽  
Geographic Routing ◽  
Sensor Nodes ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Two Dimensional ◽  
Geographic Forwarding ◽  
Limited Power

A wireless sensor network is a collection of sensor nodes that have the ability to sense phenomena in a given environment and collect data, perform computation on the gathered data, and transmit (or forward) it to their destination. Unfortunately, these sensor nodes have limited power, computational, and storage capabilities. These factors have an influence on the design of wireless sensor networks and make it more challenging. In order to overcome these limitations, various power management techniques and energy-efficient protocols have been designed. Among such techniques and protocols, geographic routing is one of the most efficient ways to solve some of the design issues. Geographic routing in wireless sensor networks uses location information of the sensor nodes to define a path from source to destination without having to build a network topology. In this paper, we present a survey of the existing geographic routing techniques both in two-dimensional (2D) and three-dimensional (3D) spaces. Furthermore, we will study the advantages of each routing technique and provide a discussion based on their practical possibility of deployment.

scholarly journals A Fuzzy-Decision Based Approach for Composite Event Detection in Wireless Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-20 ◽  
Author(s):  
Shukui Zhang ◽  
Hao Chen ◽  
Qiaoming Zhu ◽  
Juncheng Jia
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Event Detection ◽  
Dominating Set ◽  
Wireless Sensor ◽  
Rule Base ◽  
Detection Accuracy ◽  
Two Dimensional ◽  
Fuzzy Decision ◽  
Composite Event

The event detection is one of the fundamental researches in wireless sensor networks (WSNs). Due to the consideration of various properties that reflect events status, the Composite event is more consistent with the objective world. Thus, the research of the Composite event becomes more realistic. In this paper, we analyze the characteristics of the Composite event; then we propose a criterion to determine the area of the Composite event and put forward a dominating set based network topology construction algorithm under random deployment. For the unreliability of partial data in detection process and fuzziness of the event definitions in nature, we propose a cluster-based two-dimensionalτ-GAS algorithm and fuzzy-decision based composite event decision mechanism. In the case that the sensory data of most nodes are normal, the two-dimensionalτ-GAS algorithm can filter the fault node data effectively and reduce the influence of erroneous data on the event determination. The Composite event judgment mechanism which is based on fuzzy-decision holds the superiority of the fuzzy-logic based algorithm; moreover, it does not need the support of a huge rule base and its computational complexity is small. Compared to CollECT algorithm and CDS algorithm, this algorithm improves the detection accuracy and reduces the traffic.

scholarly journals Compressive Sensing-Based Clustering Joint Annular Routing Data Gathering Scheme for Wireless Sensor Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 114639-114658 ◽  
Author(s):  
Yicong Yuan ◽  
Wei Liu ◽  
Tian Wang ◽  
Qingyong Deng ◽  
Anfeng Liu ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Compressive Sensing ◽  
Data Gathering ◽  
Wireless Sensor
Sign in / Sign up

Export Citation Format

Share Document