APS: Distributed air pollution sensing system on Wireless Sensor and Robot Networks

Fu, Huai-Lei; Chen, Hou-Chun; Lin, Pengzhi

doi:10.1016/j.comcom.2011.08.004

Cited by 25 publications

(12 citation statements)

References 10 publications

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“…It integrates wireless communications, micro sensors and computer networks. WSNs have a great suitability for several application areas like military, medical, environmental, industrial, and many others [2][3][4][5]. Researchers of WSNs have interested in the routing methods that affect on the performance of the WSNs.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Routing of Wireless Sensor Networks for Obstacles-avoidance

Mohamed¹,

Nassar²

2017

IJCA

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In the recent years, wireless sensor networks (WSNs), have become essential part in a huge number of the modern applications. Researchers have developed a lot of work to improve their performance. But, practically WSNs still face with different kinds of obstacles those cause main challenges for their reliability. Therefore, finding an optimum obstacleavoiding route path for the WSNs is considered an important research problem. The present work introduces a new optimum routing algorithm based on the cluster-based method for the WSNs with obstacles. The proposed system uses the cluster-based method and the mobile sink to decrease the power consumptions and increase the lifetime of the WSNs. Besides, it uses the genetic algorithm to optimize the avoiding-obstacles routing path. Suggested system has been applied for a WSN used to communicate between a discoveryradiation robot and its operating system as a case of study. Simulation results for the tested WSN and their comparison with three other route algorithms have proved the effectiveness of the proposed novel method.

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Section: Introductionmentioning

confidence: 99%

Optimizing the Routing of Wireless Sensor Networks for Obstacles-avoidance

Mohamed¹,

Nassar²

2017

IJCA

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“…This problem finds applications in environmental monitoring [1], chemical leak detection [2], pollution monitoring [3], inspection of landfills [4], and search and rescue operations [5]. Some of these tasks are done in scenarios extremely dangerous for humans, being desirable to use robots instead.…”

Section: Introductionmentioning

confidence: 99%

Optimal Swarm Formation for Odor Plume Finding

Marjovi

Marques

2014

IEEE Trans. Cybern.

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Abstract-This paper presents an analytical approach to the problem of odor plume finding by a network of swarm robotic gas sensors and finds an optimal configuration for them, given a set of assumptions. Considering cross-wind movement for the swarm, we found that the best spatial formation of robots in finding odor plumes is diagonal line configuration with equal distance between each pair of neighboring robots. We show that the distance between neighboring pairs in the line topology depends mainly on the wind speed and the environmental conditions, whereas, the number of robots and the swarm's crosswind movement distance do not show significant impact on optimal configurations. These solutions were analyzed and verified by simulations and experimentally validated in a reduced scale realistic environment using a set of mobile robots.

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“…This problem finds applications in environmental monitoring (Dunbabin and Marques, 2012), chemical leak detection (Russell et al, 1995), pollution monitoring (Fu et al, 2012), inspection of landfills (Hernandez Bennetts et al, 2012), and search and rescue operations (Wang et al, 2010). Some of these tasks are done in scenarios extremely dangerous for humans, being desirable to use robots instead.…”

Section: Introductionmentioning

confidence: 99%

Optimal spatial formation of swarm robotic gas sensors in odor plume finding

Marjovi

Marques

2013

Auton Robot

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Finding the best spatial formation of stationary gas sensors in detection of odor clues is the first step of searching for olfactory targets in a given space using a swarm of robots. Considering no movement for a network of gas sensors, this paper formulates the problem of odor plume detection and analytically finds the optimal spatial configuration of the sensors for plume detection, given a set of assumptions. This solution was analyzed and verified by simulations and finally experimentally validated in a reduced scale realistic environment using a set of Roomba-based mobile robots.

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APS: Distributed air pollution sensing system on Wireless Sensor and Robot Networks

Cited by 25 publications

References 10 publications

Optimizing the Routing of Wireless Sensor Networks for Obstacles-avoidance

Optimizing the Routing of Wireless Sensor Networks for Obstacles-avoidance

Optimal Swarm Formation for Odor Plume Finding

Optimal spatial formation of swarm robotic gas sensors in odor plume finding

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