Glider assisted schemes to deploy sensor nodes in Wireless Sensor Networks

Sharma, Vikrant; Patel, R. B.; Bhadauria, H.S.; Prasad, Devendra

doi:10.1016/j.robot.2017.10.015

Cited by 33 publications

(4 citation statements)

References 19 publications

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“…With the grid-based scenario, sensor nodes can be manually deployed in the monitoring area of interest with the help of ships, as depicted in Figure 4. However, the sensor nodes could also be deployed through the dropping operation from the planes or flying gliders [10], shown in Figure 5. With the help of specific deployment control methods, e.g., exploiting both gliding and falling operations, the sensor nodes can be uniformly distributed in the targeted region.…”

Section: A Grid-based and Random Deployment Scenariosmentioning

confidence: 99%

Multimodal Acoustic-RF Adaptive Routing Protocols for Underwater Wireless Sensor Networks

et al. 2019

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In multi-function underwater wireless sensor networks (UWSNs), multiple applications share the same physical infrastructure to fully exploit network resources. Under such scenarios, diverse packets coexist in the same network which require differentiated delivery strategies to satisfy application demands, such as ocean monitoring packets and multimedia-based intrusion detection packets (e.g., video streams, voice or images) demand versatile support for data forwarding operation. However, the limited bandwidth and high propagation delay of acoustic channel pose great challenges to satisfy such demands. A feasible solution to solve such a problem is to exploit multimodal networks which integrate complementary acoustic and non-acoustic technologies to enhance transmission capability. Therefore, in this paper, we leverage both surface wireless radio frequency (RF) and underwater acoustic technology to fulfill different performance requirements of underwater sensor networks. We first propose two multimodal acoustic-RF adaptive routing schemes, and identify the major factors which influence the performance of these adaptive protocols. Then, we conduct extensive evaluations of the algorithms for both grid and random deployment scenarios. The simulation results confirm the feasibility of the proposed multimodal acoustic-RF routing protocols under diverse communication scenarios and channels.INDEX TERMS Underwater acoustic networks, routing, ocean sensor networks, surveillance networks.

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Section: A Grid-based and Random Deployment Scenariosmentioning

confidence: 99%

Multimodal Acoustic-RF Adaptive Routing Protocols for Underwater Wireless Sensor Networks

et al. 2019

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“…In 2018, Sharma et al [2] have presented a novel method for the optimal placement of sensor nodes. Here, every succeeding approach was an improvement and modification of its basic method.…”

Section: A Related Workmentioning

confidence: 99%

“…However, reduction in iteration count reduces the convergence. In addition, CG was presented in [2], which limits the pollution and it also positions the SN's accurately. Yet, it needs consideration to handle with high-intensity vortices.…”

Section: A Related Workmentioning

confidence: 99%

Optimal Sensor Deployment in Internet of Things based Wireless Sensor Network for Irrigation Management System

Jagtap,

Gomathi

2019

IJEAT

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In recent years, several applications are found to be exploiting under Wireless Sensor Networks (WSNs), and more particularly civil and military applications. However, Target Coverage (TCOV) and Network Connectivity (NCON) are found to be the most crucial issues that have to be resolved to attain effective robust data communication and environmental sensing in WSN. This paper has made an attempt to propose a new effective sensor deployment model in the application of the irrigation management system in agriculture sector. The data logger (data collector) IoT devices are typically placed over the field, which does the communication one another. The main point of this design is the IoT device TCOV and NCON, and the real-time issue related to this design is the device mobility that consumes more power thereby minimizes the lifetime of network. The proposed model intends to solve the comprised NCON and TCOV with the aid of Euclidean Spanning Tree Model (ECST). Further, this paper introduces a new Fitness Interrelated Whale Optimization Algorithm (FI-WOA) that insisted in the minimum movement of mobile sensors over the network. This novel characteristic of sensor deployment model would create the effectual impacts in the irrigation management system. Further, the adopted ECST-WOA model is compared with conventional models and the results attained from the execution demonstrate the enhanced performance of the implemented technique.

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“…Meanwhile, the repair process is limited by different kinds of intricate restraints. In the method of healing the coverage holes, the conventional healing ways redeployed by humans and airplanes which throw many nodes randomly [7,8]. WSRNs are frequently applied in the hazardous and severe scenarios.…”

Section: Introductionmentioning

confidence: 99%

The Repair Strategy for Event Coverage Holes Based on Mobile Robots in Wireless Sensor and Robot Networks

Zhuang

Wu³

et al. 2019

Sensors

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In the application of the wireless sensor and robot networks (WSRNs), there is an urgent need to accommodate flexible surveillance tasks in intricate surveillance scenarios. On the condition of flexible surveillance missions and demands, event coverage holes occur in the networks. The conventional network repair methods based on the geometric graph theory such as Voronoi diagram method are unable to meet the conditions of flexible surveillance tasks and severe multi-restraint scenarios. Mobile robots show obvious advantages in terms of adaptation capacity and mobility in hazardous and severe scenarios. First, we propose an event coverage hole healing model for multi-constrained scenarios. Then, we propose a joint event coverage hole repair algorithm (JECHR) on the basis of global repair and local repair to apply mobile robots to heal event coverage holes in WSRNs. Different from conventional healing methods, the proposed algorithm can heal event coverage holes efficaciously which are resulted from changing surveillance demands and scenarios. The JECHR algorithm can provide an optimal repair method, which is able to adapt different kinds of severe multi-constrained circumstances. Finally, a large number of repair simulation experiments verify the performance of the JECHR algorithm which can be adapted to a variety of intricate surveillance tasks and application scenarios.

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Glider assisted schemes to deploy sensor nodes in Wireless Sensor Networks

Cited by 33 publications

References 19 publications

Multimodal Acoustic-RF Adaptive Routing Protocols for Underwater Wireless Sensor Networks

Multimodal Acoustic-RF Adaptive Routing Protocols for Underwater Wireless Sensor Networks

Optimal Sensor Deployment in Internet of Things based Wireless Sensor Network for Irrigation Management System

The Repair Strategy for Event Coverage Holes Based on Mobile Robots in Wireless Sensor and Robot Networks

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