Enabling mobility in heterogeneous wireless sensor networks cooperating with UAVs for mission-critical management

Erman, Aysegül Tüysüz; Hoesel, Lodewijk van; Havinga, Paul J.M.; Wu, Jiankang

doi:10.1109/mwc.2008.4749746

Cited by 103 publications

(75 citation statements)

References 4 publications

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“…Once an ant has reach P t , its control points are used to construct a trajectory using B-Spline. The path will be evaluated based on (5). Artificial pheromone will then be distributed at the centers of the CPCs as 2-dimensional (2-D) Gaussian functions.…”

Section: B Aco-based Path Planner With 2-d Gaussian Functionsmentioning

confidence: 99%

“…Evaluate the path using (5). If the result is satisfy or if the maximum iteration number T max has reached, terminate.…”

Section: B Aco-based Path Planner With 2-d Gaussian Functionsmentioning

confidence: 99%

“…Mobile wireless platforms are widely employed in wireless sensor networks for deploying wireless sensor nodes [1], [2], maintaining network connectivity [3], [4], and collecting sensing data [5], [6]. Wireless sensor networks usually consist of massive volumes of wireless sensor nodes, which are deployed in hostile environment.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A 2-Dimensional ACO-Based Path Planner for Off-Line Robot Path Planning

Ganganath

Cheng

2013

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery

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Abstract-Wireless sensor networks are usually deployed in scenarios that are too hostile for human personnel to perform maintenance tasks. Wireless sensor nodes usually exchange information in a multi-hop manner. Connectivity is crucial to the performance of a wireless sensor network. In case a network is partitioned due to node failures, it is possible to re-connect the fragments by setting up bridges using mobile platforms. Given the landscape of a terrain, the mobile platforms should be able reach the target position using a desirable path. In this paper, an off-line robot path planner is proposed to find desirable paths between arbitrary points in a given terrain. The proposed path planner is based on ACO algorithms. Unlike ordinary ACO algorithms, the proposed path planner provides its artificial ants with extra flexibility in making routing decisions. Simulation results show that such enhancement can greatly improve the qualities of the paths obtained. Performances of the proposed path planner can be further optimized by finetuning its parameters.

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Section: B Aco-based Path Planner With 2-d Gaussian Functionsmentioning

confidence: 99%

“…Evaluate the path using (5). If the result is satisfy or if the maximum iteration number T max has reached, terminate.…”

Section: B Aco-based Path Planner With 2-d Gaussian Functionsmentioning

confidence: 99%

See 1 more Smart Citation

A 2-Dimensional ACO-Based Path Planner for Off-Line Robot Path Planning

Ganganath

Cheng

2013

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery

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“…AWARE [6] is a middleware whose goal is to provide integration of the information gathered by different types of sensors, including low-end sensor nodes in a wireless sensor network and mobile robots equipped with more sophisticated sensors. Our proposal not only addresses heterogeneous sensors and their coordination, but also concerns like QoS and runtime reflection in order to cope with changes in the environment and in the network, which is missing in [6].…”

Section: Related Workmentioning

confidence: 99%

“…Our proposal not only addresses heterogeneous sensors and their coordination, but also concerns like QoS and runtime reflection in order to cope with changes in the environment and in the network, which is missing in [6]. Moreover, in our approach, the autonomous decisions taken by the mobile nodes characterize a higher intelligence degree of our mobile robots if compared with the proposal presented in [6].…”

Section: Related Workmentioning

confidence: 99%

Coordinating Aerial Robots and Unattended Ground Sensors for Intelligent Surveillance Systems

Freitas

Heimfarth

Allgayer

et al. 2010

INT J COMPUT COMMUN

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Abstract:Sensor networks are being used to implement different types of sophisticated emerging applications, such as those aimed at supporting ambient intelligence and surveillance systems. This usage is enhanced by employing sensors with different characteristics in terms of sensing, computing and mobility capabilities, working cooperatively in the network. However, the design and deployment of these heterogeneous systems present several issues that have to be handled in order to meet the user expectations. The main problems are related to the nodes' interoperability and the overall resource allocation, both inter and intra nodes. The first problem requires a common platform that abstracts the nodes' heterogeneity and provides a smooth communication, while the second is handled by cooperation mechanisms supported by the platform. Moreover, as the nodes are supposed to be heterogeneous, a customizable platform is required to support both resource rich and poorer nodes. This paper analyses surveillance systems based on a heterogeneous sensor network, which is composed by lowend ground sensor nodes and autonomous aerial robots, i.e. Unmanned Aerial Vehicles (UAVs), carrying different kinds of sensors. The approach proposed in this work tackles the two above mentioned problems by using a customizable hardware platform and a middleware to support interoperability. Experimental results are also provided.

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Neuro‐Fuzzy‐Based Bidirectional and Biobjective Reactive Routing Schema for Critical Wireless Sensor Networks

Raghunath¹,

Raman²

2021

Sensor Data Analysis and Management

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Enabling mobility in heterogeneous wireless sensor networks cooperating with UAVs for mission-critical management

Cited by 103 publications

References 4 publications

A 2-Dimensional ACO-Based Path Planner for Off-Line Robot Path Planning

A 2-Dimensional ACO-Based Path Planner for Off-Line Robot Path Planning

Coordinating Aerial Robots and Unattended Ground Sensors for Intelligent Surveillance Systems

Neuro‐Fuzzy‐Based Bidirectional and Biobjective Reactive Routing Schema for Critical Wireless Sensor Networks

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