scholarly journals Enhancing Localization of Mobile Robots in Distributed Sensor Environments for Reliable Proximity Service Applications

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 28826-28834 ◽  
Author(s):  
Xingzhen Bai ◽  
Zhijing Zhang ◽  
Lu Liu ◽  
Xiaojun Zhai ◽  
John Panneerselvam ◽  
...  
2020 ◽  
pp. 208-223
Author(s):  
Hung Manh La

In this chapter, autonomous mobile robots are deployed to measure an unknown scalar field and build its map. The development of a cooperative sensing and control method is presented for multi-robot swarming to build the scalar field map. The proposed method consists of two parts. First, the development of a distributed sensor fusion algorithm is obtained by integrating two different distributed consensus filters to achieve cooperative sensing among robots. This fusion algorithm has two phases. In the first phase, the weighted average consensus filter is developed which allows each robot to find an estimate of the value of the scalar field. In the second phase, the average consensus filter is used to allow each robot to find a confidence of the estimate. The final estimate of the value of the scalar field is iteratively updated during the movement of the robot via a weighted average protocol. Second, the distributed control algorithm is developed to control the mobile robots to form a network and cover the field. Experimental results are provided to demonstrate the proposed algorithms.


2012 ◽  
Vol 132 (3) ◽  
pp. 381-388
Author(s):  
Takaaki Imaizumi ◽  
Hiroyuki Murakami ◽  
Yutaka Uchimura

2006 ◽  
Vol 65 (3) ◽  
pp. 229-241
Author(s):  
S. F. Yatsun ◽  
F. K. Freire ◽  
V. S. Dyshenko ◽  
O. A. Shadrina
Keyword(s):  

2019 ◽  
Author(s):  
Abhishek Verma ◽  
Virender Ranga

Relay node placement in wireless sensor networks for constrained environment is a critical task due to various unavoidable constraints. One of the most important constraints is unpredictable obstacles. Handling obstacles during relay node placement is complicated because of complexity involved to estimate the shape and size of obstacles. This paper presents an Obstacle-resistant relay node placement strategy (ORRNP). The proposed solution not only handles the obstacles but also estimates best locations for relay node placement in the network. It also does not involve any additional hardware (mobile robots) to estimate node locations thus can significantly reduce the deployment costs. Simulation results show the effectiveness of our proposed approach.


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