The integration of mobile (tele) robotics and wireless sensor networks: A survey

Wichmann, Andrew; Okkalıoğlu, Burcu Demirelli; Korkmaz, Turgay

doi:10.1016/j.comcom.2014.06.005

Cited by 38 publications

(24 citation statements)

References 124 publications

(186 reference statements)

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“…With the advancement of sensor networks, robot navigation systems have used these networks to improve on previous path planning solutions [16]. For a more in-depth discussion on WSNs, robotics, and path planning, the reader is directed towards our recent survey [17].…”

Section: Mobile Sinksmentioning

confidence: 99%

Smooth path construction and adjustment for multiple mobile sinks in wireless sensor networks

Wichmann

Korkmaz

2015

Computer Communications

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Section: Mobile Sinksmentioning

confidence: 99%

Smooth path construction and adjustment for multiple mobile sinks in wireless sensor networks

Wichmann

Korkmaz

2015

Computer Communications

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“…The multiple degrees of autonomous lead to requirements in different data should be collected and communicated over the network. This system is used to replace the human interaction in dangerous areas …”

Section: Literature Reviewmentioning

confidence: 99%

“…The result assures that the planned model provides distinct features with respect to other model. 16 Wichmann et al 17 proposed the wireless sensor and robot network with telephone to characterize the interaction between the robots or components of the WSNRT and considered many issues related to coordination mechanism among the robots and communication. The main challenge in the WSNRT is the degree of autonomy of the robot varying the lifetime and throughput of the network.…”

Section: Literature Reviewmentioning

confidence: 99%

Establishing an emergency communication network and optimal path using multiple autonomous rover robots

Sakthitharan¹,

Jayashri²

2018

Concurrency and Computation

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Summary The natural calamity or disaster may destroy all communication networks especially a cellular network that relies on a tower. Although many solutions to an ad hoc wireless network have been proposed, forming a network covering a respective region with mobile robots toward optimal coverage remains to be an open problem. In this paper, we take the initiative to handle the optimal network coverage and path selection in disaster region with the help of multiple movable/rover robots. This paper consists of load balance distribution algorithm and optimal coverage algorithm applied to find the next optimally possible node location for all robots. Next, the robots maneuvering in an unknown disaster environment to identify the optimal path between the source and destination by using a particle swarm optimization algorithm. Finally, simulated results show that the algorithms can significantly improve the network coverage in the entire region, and the optimal path can effectively identify the optimal solution for all rover robots.

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“…The wireless sensor network (WSN) is a promising technology to improve the social life cooperating with the robotic technologies like nursing robots, disaster rescue robots, industrial robots, and so on [1].…”

Section: Introductionmentioning

confidence: 99%

A sensor node architecture with zero standby power on wireless sensor network

Yamawaki

Yamanaka

Serikawa

2015

Artif Life Robotics

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The WSN has various problems to be resolved in order to spread its usage widely. One of the problems is the power consumption of the sensor node driven by the battery. Changing the batteries on many nodes incurs significant cost. To tackle such problem, the sensor nodes using photovoltaics have been proposed [2]. However, the photovoltaics cannot generate enough power in nighttime. It also does not work well when enough sunlight cannot reach like the indoor, cloudy day, tunnel, and so on. There are also several researches using other energy harvesting such as vibrations, thermoelectric, wind flow, acoustic noise, magnetic field energy, and so on. However, the amount of energy gained by such harvesting is not enough to make the sensor node work normally and reliably [2]. By the way, there are researches to make the battery life longer by making the sensor node sleep with low power consumption in a cyclic manner [3]. However, the sensor node in the sleep mode constantly consumes the battery power even if it is low. In addition, the cyclic wake-up performs waste sensing when any event does not occur. It leads to waste of the battery power.Thus, we propose a novel architecture of the sensor node with zero power consumption in the sleep mode. Since the sleeping sensor node also wakes only when the event that the sensor should sense occurs, the waste wake-up consuming the battery power can be eliminated completely. The proposed sensor node utilizes a transistor switch cutting the power line, which is driven by the electromotive force from a sensor [4]. The novelties of our paper are to propose the new architecture of the sensor node using this mechanism on a sensor network, to confirm whether a wireless sensor node with this mechanism can be practically realized, and to show the quantitative effect to reduce the power consumption.The rest of the paper is organized as follows. Section 2 shows an overview of the architecture of the proposed Abstract The wireless sensor network (WSN) is a promising technology to improve the social life cooperating with the robotic technologies like nursing robots, disaster rescue robots, industrial robots, and so on. For such WSN, we propose an architecture of the sensor node with zero standby power consumption. This is accomplished by combining a power transistor cutting the ground line, an electromotive from a sensor for just turning on the power transistor and a conventional battery. The preliminary experiments demonstrate that our proposal can actually activate the sensor node, which stays at the sleep mode with zero power consumption, with a short-time electromotive force generated by the piezoelectric sensor. It is also confirmed that the sensor node activated can establish the wireless communication correctly.

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The integration of mobile (tele) robotics and wireless sensor networks: A survey

Cited by 38 publications

References 124 publications

Smooth path construction and adjustment for multiple mobile sinks in wireless sensor networks

Smooth path construction and adjustment for multiple mobile sinks in wireless sensor networks

Establishing an emergency communication network and optimal path using multiple autonomous rover robots

A sensor node architecture with zero standby power on wireless sensor network

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