Multi-SOI based particle filter for distributed estimation in ad hoc wireless sensor network

2014 ◽  
Author(s):  
Fatma Aounallah ◽  
Rim Amara Boujemaa ◽  
Monia Turki
Keyword(s):  
Wireless Sensor Network ◽  
Particle Filter ◽  
Sensor Network ◽  
Ad Hoc ◽  
Distributed Estimation ◽  
Wireless Sensor

Designing Energy-Efficient Topologies for Wireless Sensor Network: Neural Approach

2010 ◽  
Vol 6 (1) ◽  
pp. 216716 ◽  
Author(s):  
Chiranjib Patra ◽  
Anjan Guha Roy ◽  
Samiran Chattopadhyay ◽  
Parama Bhaumik
Keyword(s):  
Neural Network ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Ad Hoc ◽  
Wireless Sensor ◽  
Distributed Environment ◽  
Feature Map ◽  
Battery Power

Preserving energy or battery power of wireless sensor network is of major concern. As such type of network, the sensors are deployed in an ad hoc manner, without any deterministic way. This paper is concerned with applying standard routing protocols into wireless sensor network by using topology modified by neural network which proves to be energy efficient as compared with unmodified topology. Neural network has been proved to be a powerful tool in the distributed environment. Here, to capture the true distributed nature of the Wireless Sensor Network (WSN), neural network's Self-Organizing Feature Map (SOFM) is used.

Target Tracking Based Adaptive Particle Filter in Binary Wireless Sensor Networks

2013 ◽  
Vol 756-759 ◽  
pp. 2281-2287
Author(s):  
Ling Dong Su ◽  
Ming Yue Zhai ◽  
Zhi Yu Zhu
Keyword(s):  
Wireless Sensor Network ◽  
Particle Filter ◽  
Target Tracking ◽  
Real Time ◽  
Sensor Network ◽  
Particle Filtering ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Local Estimate ◽  
Real Time Tracking

Since real-time and communication amount is crucial for the wireless sensor network target tracking, the performance of target tracking in the wireless sensor network is critically depended on real-time and communication amount reduction. This paper presents a target tracking method based on distributed adaptive particle filtering in binary wireless sensor network. Based on dynamic clustering, the adaptive particle filter receives the observations from children nodes and formulates the local estimate with the cluster head as the processing center. Simulation results show that the method can effectively improve the real-time tracking and reduce communication amount.

Sign in / Sign up

Export Citation Format

Share Document