Improving connectivity and coverage of wireless sensor networks using mobile robots

Houaidia, Chiraz; Idoudi, Hanen; Saı̈dane, Leı̈la Azouz

doi:10.1109/isci.2011.5958958

Cited by 10 publications

(6 citation statements)

References 5 publications

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“…Prior works related to the deployment of IoT networks [4, 5] rely on the theoretical assumption of omnidirectional propagation of electromagnetic waves, modelled through two peculiar parameters: the sensing range

R_{normals}

and coverage (communication) range

R_{normalc}

. The sensing range of a sensor borders the region where every event that takes place in this region can be detected by.…”

Section: Related Workmentioning

confidence: 99%

“…Further studies in [11] consider the robot as a sentient unit suitable for data collection, and the sensors as simple markers useful to point out the areas already patrolled by the robot, or as geographical tags that suggest the direction of the next shift. Given an area of interest already covered by randomly deployed sensors, Houaidia et al [5] suggest a robot‐driven nodes relocation strategy to obtain sufficient coverage and network connectivity. In both cases, communication aspects are left unspecified without considering the radio communications variability.…”

Section: Related Workmentioning

confidence: 99%

“…From one hand, based on the monitoring application, a minimum number of motes per surface unit should be deployed to pursue the desired spatial sampling resolution of the phenomena of interest [4]. On the other hand, the placement of the different motes should consider the radio signal strength, which is very hard to predict in industrial environments, in order to result in a fully connected IoT network [5]. In addition, on deployment, each mote should be fully configured in order to make it able to exchange data with the rest of the network.…”

Section: Introductionmentioning

confidence: 99%

“…The robotic-aided IoT deployment systems proposed so far [4][5][6][7][8][9][10][11] (more details about related works are discussed in Section 2) implicitly or explicitly assume that radio communications between motes are omnidirectional and symmetric in all directions. This assumption is very far from reality since shadowing, scattering, and multipath propagation completely break the circular symmetry of any real communication process, especially in industrial environments, as very well known from basic digital communication theory and practise [12].…”

Section: Introductionmentioning

confidence: 99%

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Robotic‐aided IoT: automated deployment of a 6TiSCH network using an UGV

Valecce

Micoli

Boccadoro

et al. 2019

IET wirel. sens. syst.

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The automated setup of Internet of things (IoT) systems in industrial environments is an open challenge at the forefront of networking and robotics domains. In this study, a robotic-aided deployment system is proposed and experimentally tested with reference to the Internet protocol version 6 technology. To this end, a design methodology has been conceived to attain the setup of a fully connected time-slotted channel hopping network in a target area, based on the measured received signal strength indication of wireless links, required spatial sensing resolution, and number of available IoT nodes. To demonstrate the effectiveness of the proposed methodology, an experimental test bed has been set up, consisting of an unmanned ground vehicle (UGV) that automatically deploys an IoT network in a laboratory environment. Experimental results clearly show that the UGV is able to deploy a fully connected 6TiSCH network that match spatial resolution requirements, highlighting how the proposed policy affects the position of IoT nodes release points.

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R_{normals}

and coverage (communication) range

R_{normalc}

. The sensing range of a sensor borders the region where every event that takes place in this region can be detected by.…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robotic‐aided IoT: automated deployment of a 6TiSCH network using an UGV

Valecce

Micoli

Boccadoro

et al. 2019

IET wirel. sens. syst.

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“…Another advantage of using network consisting of mobile sink nodes is that it could maximize network connectivity as shown in the figure 5 above [4]. In some cases, network using static sink could not receive sensing data from active sensor nodes because of the absence of connecting nodes if the nodes in the dotted line have stopped functioning due to external factors.…”

Section: Figure 5 Maintain and Expand Connectivity Using Mobile Sinkmentioning

confidence: 99%

Lifetime improvement method using mobile sink for IoT service

Kim

Lee

2013

Proceedings of the 10th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, &Amp; Ubiquitous Networks

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In this paper, we describe a lifetime improvement method using mobile sink node for Internet of Things (IoT) device and discuss the major technologies involved in IoT. Additionally, we discuss the potential scope of IoT and the major technologies involved in IoT infrastructure. Conventional network was based on static sink which is unsuitable for resource constrained Wireless Sensor Networks (WSNs). WSNs can be large scale networks and it is impossible to perform as normal without connectivity. In IoT, physical objects home appliances, temperature sensor, smart phone, table PC etc. will be context aware to sense the environment around them and interact with each other. The devices in IoT are powered by a battery with limited power, which is dissipated during sensing, processing and data transmission/reception. For IoT, devices are required to be made sustainability by embedding connectivity and intelligent into them using technologies such as WSNs. Therefore connectivity and energy efficiency are the key issues in WSNs. We propose a simple method using mobile sink based on Travelling Salesman Problem (TSP). The proposed method uses less memory and less overhead cost than other schemes including relay node, and is therefore appropriate for implementation in WSNs. We will prove that the method can guarantee network connectivity. The performance of our method is demonstrated by simulation results. Not only simulation result shows that the proposed method can extend the network lifetime and connectivity, but also reduces unnecessary relay node's energy consumption by using mobile sink.

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