scholarly journals Collaborative Allocation and Optimization of Path Planning for Static and Mobile Sensors in Hybrid Sensor Networks for Environment Monitoring and Anomaly Search

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7867
Author(s):  
Yanjie Guo ◽  
Zhaoyi Xu ◽  
Joseph Saleh
Keyword(s):  
Sensor Networks ◽  
Path Planning ◽  
Network Performance ◽  
Performance Metrics ◽  
Estimation Error ◽  
Time Lag ◽  
Mobile Sensors ◽  
Mobile Sensor ◽  
Active Monitoring ◽  
Search Tasks

In this study, a novel collaborative method is developed to optimize hybrid sensor networks (HSN) for environmental monitoring and anomaly search tasks. A weighted Gaussian coverage method hs been designed for static sensor allocation, and the Active Monitoring and Anomaly Search System method is adapted to mobile sensor path planning. To validate the network performance, a simulation environment has been developed for fire search and detection with dynamic temperature field and non-uniform fire probability distribution. The performance metrics adopted are the detection time lag, source localization uncertainty, and state estimation error. Computational experiments are conducted to evaluate the performance of HSNs. The results demonstrate that the optimal collaborative deployment strategy allocates static sensors at high-risk locations and directs mobile sensors to patrol the remaining low-risk areas. The results also identify the conditions under which HSNs significantly outperform either only static or only mobile sensor networks in terms of the monitoring performance metrics.

A Novel Static Path Planning Method for Mobile Anchor-Assisted Localization in Wireless Sensor Networks

2020 ◽  
Vol 10 ◽  
Author(s):  
Abdelhady M. Naguib ◽  
Shahzad Ali
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Path Planning ◽  
Sensor Node ◽  
Large Scale ◽  
Performance Metrics ◽  
Wireless Sensor ◽  
Anchor Node ◽  
Mobile Anchor ◽  
Planning Methods

Background: Many applications of Wireless Sensor Networks (WSNs) require awareness of sensor node’s location but not every sensor node can be equipped with a GPS receiver for localization, due to cost and energy constraints especially for large-scale networks. For localization, many algorithms have been proposed to enable a sensor node to be able to determine its location by utilizing a small number of special nodes called anchors that are equipped with GPS receivers. In recent years a promising method that significantly reduces the cost is to replace the set of statically deployed GPS anchors with one mobile anchor node equipped with a GPS unit that moves to cover the entire network. Objectives: This paper proposes a novel static path planning mechanism that enables a single anchor node to follow a predefined static path while periodically broadcasting its current location coordinates to the nearby sensors. This new path type is called SQUARE_SPIRAL and it is specifically designed to reduce the collinearity during localization. Results: Simulation results show that the performance of SQUARE_SPIRAL mechanism is better than other static path planning methods with respect to multiple performance metrics. Conclusion: This work includes an extensive comparative study of the existing static path planning methods then presents a comparison of the proposed mechanism with existing solutions by doing extensive simulations in NS-2.

Coverage Control for Mobile Sensor Networks on a Circle

2014 ◽  
Vol 02 (03) ◽  
pp. 243-248 ◽  
Author(s):  
Cheng Song ◽  
Gang Feng
Keyword(s):  
Sensor Networks ◽  
Mobile Agents ◽  
Mobile Sensor Networks ◽  
Mobile Sensors ◽  
Mobile Sensor ◽  
Coverage Problem ◽  
Control Laws ◽  
Coverage Control ◽  
Order Preservation ◽  
Multi Agent

This paper investigates the coverage problem for mobile sensor networks on a circle. The goal is to minimize the largest distance from any point on the circle to its nearest sensor while preserving the mobile sensors' order. The coverage problem is translated into a multi-agent consensus problem by showing that the largest distance from any point to its nearest sensor is minimized if the counterclockwise distance between each sensor and its right neighbor reaches a consensus. Distributed control laws are also developed to drive the mobile agents to the optimal configuration with order preservation. Simulation results illustrate the effectiveness of the proposed control laws.

Path-Planning-Enabled Semiflocking Control for Multitarget Monitoring in Mobile Sensor Networks

2020 ◽  
Vol 16 (7) ◽  
pp. 4778-4787 ◽  
Author(s):  
Wanmai Yuan ◽  
Nuwan Ganganath ◽  
Chi-Tsun Cheng ◽  
Guo Qing ◽  
Francis C. M. Lau ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Path Planning ◽  
Mobile Sensor Networks ◽  
Mobile Sensor

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.

Mobile Sensor Navigation in Wireless Hybrid Sensor Networks

2013 ◽  
Vol 694-697 ◽  
pp. 1013-1016
Author(s):  
Chao Yang Lee ◽  
Fu Tian Lin ◽  
Chu Sing Yang
Keyword(s):  
Sensor Networks ◽  
Routing Protocol ◽  
Resource Constraints ◽  
Mobile Sensors ◽  
Mobile Sensor ◽  
Mobile Platforms ◽  
Dynamic Source ◽  
Coverage Quality ◽  
Moving Path ◽  
Sensor Navigation

With recent advances in mobile platforms, hybrid sensor networks are becoming very popular technology. Mobile sensors can dynamically move to monitor uncovered areas and thus improve the coverage quality. Due to the obstacles may exist in the monitor fields, mobile sensors need to find an obstacle-free moving path for mobile sensor movement. However, in practical, sensors are difficult to obtain the geographic information of obstacles. Additionally, sensors have resource constraints. Hence, this work proposed an obstacle-free and geographic-free dispatch scheme (OGDS) for mobile sensor navigation with low computational complexity. The moving path for mobile sensor dispatch has obtained by using the Dynamic Source Routing protocol (DSR) protocol. Experimental results reveal that the proposed scheme can be efficiently executed.

scholarly journals Mobile Sensor Networks: What Can Underground Electric Transport Vehicles do in Underground Mine Monitoring?

2021 ◽  
pp. 1-6
Author(s):  
Chenxi Zhao ◽  
Haoxuan Yu
Keyword(s):  
Sensor Networks ◽  
Environmental Conditions ◽  
Mobile Sensor Networks ◽  
Underground Mine ◽  
Mobile Sensors ◽  
Underground Mines ◽  
Electric Transport ◽  
Mobile Sensor ◽  
Mine Roadway

According to our previous work, we have found that the ZigBee WSN technology and sensors are actually suitable for the underground monitoring, but there are still many problems. So in this viewpoint paper, we showed our viewpoint that the underground driver-less electric transport vehicles could also play an important role in the underground monitoring, that is, underground electric transport vehicles running in the mine roadway could carry mobile sensors to monitor the environmental conditions in the transport roadway. If it could be realized, it will save the number of sensors installed around the mine so as to reduce costs. If it could be realized, the monitoring of underground mines will become more convenient.

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.

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