scholarly journals Mobile Sensing and Simultaneously Node Localization in Wireless Sensor Networks for Human Motion Tracking

2012 ◽  
Vol 9 (4) ◽  
pp. 367-374
Author(s):  
Sen Zhang ◽  
Wendong Xiao ◽  
Jun Gong ◽  
Yixin Yin
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Human Motion ◽  
Sensor Nodes ◽  
Mobile Sensors ◽  
Tracking Performance ◽  
Wireless Sensor ◽  
Mobile Sensor ◽  
Optimal Position ◽  
Static Sensors

This paper exploits optimal position of the mobile sensor to improve the target tracking performance of wireless sensor networks and simultaneously localize both of the static sensor nodes and mobile sensor nodes when tracking the human motion. In our approach, mobile sensors collaborate with static sensors and move optimally to achieve the required detection performance. The accuracy of final tracking result is then improved as the measurements of mobile sensors have higher signal-to-noise ratios after the movement. Specifically, we can simultaneously localize the mobile sensor and static sensors position when localizing the human’s position based on augmented extended Kalman filters (EKF). In the algorithm, we develop a sensor movement optimization algorithm that achieves near-optimal system tracking performance. We also presented an sensor nodes management scheme in order to deduce the computation complexity when localizing the static sensor nodes. The effectiveness of our approach is validated by extensive simulations using the simulations.

A Distributed Motion Algorithm for Mobile Sensor in Hybrid Wireless Sensor Networks

2015 ◽  
Vol 719-720 ◽  
pp. 812-817
Author(s):  
Xi Rong Bao ◽  
Yue Huang ◽  
Shi Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Minimum Cost ◽  
Mobile Sensors ◽  
Wireless Sensor ◽  
Network Coverage ◽  
Mobile Sensor ◽  
Coverage Hole ◽  
The Cost ◽  
Static Sensors

Constructing a hybrid wireless sensor networks comprising a mix of static sensors and mobile sensors can achieve a balance between improving coverage and reducing the cost of the network. In order to achieve high network coverage, mobile sensor move from a small to a big size of coverage hole in the hybrid wireless sensor networks. Due to the energy of the mobile sensor is limited, how to reduce the moving distance of the mobile sensor and reduce the energy consumption in the process of moving is a very important issue. This paper proposes a distributed minimum cost matching algorithm (DMMA) to redeploy mobile sensor, which can make the level of network coverage to meet the requirement of the environment, while effectively reducing the number of sensors. In our method, static sensors detect coverage hole by Voronoi diagrams, coverage holing sensors and mobile sensors by using DMMA to excellently heal the large coverage holes. Simulation results show that our method can effectively improve the coverage rate of the WSNs, while save the energy of mobile sensors.

scholarly journals Mobility Assisted Sensor Node Self-Deployment for Maximizing the Coverage of Wireless Sensor Networks using A Genetic Algorithm

2013 ◽  
Vol 10 (2) ◽  
pp. 33
Author(s):  
VV Juli ◽  
J Raja
Keyword(s):  
Genetic Algorithm ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Matlab Simulation ◽  
Mobile Sensor ◽  
Adequate Coverage ◽  
And Control

Wireless sensor networks extend the capability to monitor and control far-flung environments. However, sensor nodes must be deployed appropriately to reach an adequate coverage level for the successful acquisition of data. Modern sensing devices are able to move from one place to another for different purposes and constitute the mobile sensor network. This mobile sensor capability could be used to enhance the coverage of the sensor network. Since mobile sensor nodes have limited capabilities and power constraints, the algorithms which drive the sensors to optimal locations should extend the coverage. It should also reduce the power needed to move the sensors efficiently. In this paper, a genetic algorithm- (GA) based sensor deployment scheme is proposed to maximize network coverage, and the performance was studied with the random deployment using a Matlab simulation. 

scholarly journals Fault Tolerant Line-Based Barrier Coverage Formation in Mobile Wireless Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Jie Shen ◽  
Zhibo Wang ◽  
Zhi Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Fundamental Problem ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Barrier Coverage ◽  
Localization Algorithm ◽  
Mobile Sensor ◽  
Location Errors ◽  
Mobile Sensor Nodes

Barrier coverage is a fundamental problem for lots of applications in wireless sensor networks. In reality, sensor nodes’ true locations may not be known to us considering that not every sensor node is equipped with a GPS. The measured locations of sensor nodes obtained by applying node localization algorithm often have errors, which makes it difficult to form a line-based barrier with mobile sensor nodes. In this paper, we study how to efficiently schedule mobile sensor nodes to form a barrier when sensor nodes suffer from location errors. We explore the relationship between the existence of uncovered hole and location errors and find that the lengths of uncovered holes are decided by the cumulative location errors. We also propose a method in frequency domain to efficiently calculate the distributions of the cumulative location errors. The possibility of the existence of uncovered holes can be derived by analyzing the step responses of the cumulative location errors. Extensive experimental results demonstrate the effectiveness of the proposed algorithm.

scholarly journals Improved Network Lifetime in Mobile Wireless Sensor Networks using Adaptive Algorithms

2019 ◽  
Vol 8 (2) ◽  
pp. 2131-2135
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Mobile Sensor ◽  
Mobile Wireless ◽  
Battery Power ◽  
Mobile Sensor Nodes ◽  
Mobile Wireless Sensor

Mobile Wireless Sensor Networks (MWSNs) have gained a lot of attention because of their applicability in different types of applications such as environment, healthcare, agriculture, industry automation, public safety, security and military surveillance. MWSNs are suffered from poor network lifetime because of the continuous disconnections between the mobile sensor nodes as they have limited battery power. This paper proposed and implement an adaptive algorithm(d-DSR) (implemented in DSR routing protocol) using ns-2.34,that handles the continuous disconnections because of low battery power of the mobile sensor nodes and improves the performance of the network in terms of throughput, packet delivery fraction, delay and network lifetime.

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