UAV-assisted data gathering in wireless sensor networks

Dong, Mianxiong; Ota, Kaoru; Lin, Man; Tang, Zunyi; Du, Suguo; Zhu, Haojin

doi:10.1007/s11227-014-1161-6

Cited by 156 publications

(62 citation statements)

References 17 publications

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“…1, the system consisted of three parts: Data acquisition and transmission terminal, server and client [10][11][12]. The function of data acquisition and transmission terminal is to monitor henhouse environmental information, including monitoring terminal and henhouse environment monitoring sensors.STM32F103VB (ARM 32-bit Cortex-M3 CPU) was used as the core processor in the monitoring terminal.…”

Section: Gprs Networkmentioning

confidence: 99%

“…The temperature in the henhouse met the requirement of national environmental quality standard of livestock and poultry farm, but the concentration of CO 2 was too higher. It was recommended that strengthening the ventilation management on the basis of keeping suitable temperature, to improve the environmental quality for better production performance of layers [12][13].…”

Section: Design Of the Monitoring Experimentsmentioning

confidence: 99%

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Design and Application of Intelligent Monitoring System for Laminated Henhouse with Six Overlap Tiers Cages

Hua-long¹,

Yang²,

Jun-ying³

et al. 2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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Abstract-Because of high breeding density, the laminated henhouse with six overlap tiers cages microclimate has more influence to layers health and production performance. At present, the environmental measuring parameters and the measuring points are too less to reflect the whole henhouse environment. To solve this problem, we proposed an intelligent monitoring system and designed a kind of sensor distribution topology for henhouse complex structure. It can realize the real-time online environmental monitoring of the whole henhouse. The monitoring experiment was carried out in a henhouse in Hubei province. And the evaluation of the henhouse environment was scientifically analyzed. In fact, we find that his system runs stably, accurately and effectively, and has important practical significance and good application prospect in large-scale livestock precision farming.

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Section: Gprs Networkmentioning

confidence: 99%

Section: Design Of the Monitoring Experimentsmentioning

confidence: 99%

Design and Application of Intelligent Monitoring System for Laminated Henhouse with Six Overlap Tiers Cages

Hua-long¹,

Yang²,

Jun-ying³

et al. 2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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show abstract

“…With significant advancements in wireless networking and UAS-related technologies, UAVs have been employed for extension of wireless communication service such as UAVaided ubiquitous coverage [10][11][12][13][14], UAV-aided relaying [10], and UAV-aided information dissemination and collection [15][16][17][18] as shown in the bottom of Table 1. More specifically, the UAV-aided information dissemination and collection can be substantiated in the form of UAV-based WSN (Wireless Sensor Network) in real world.…”

Section: Introductionmentioning

confidence: 99%

A UAV-Aided Cluster Head Election Framework and Applying Such to Security-Driven Cluster Head Election Schemes: A Survey

Wang

Lee

Ahn

et al. 2018

Security and Communication Networks

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UAS (Unmanned Aerial Systems) are now drawing a lot of attention from academic and research fields as well as the general public. The UAS is expected to provide many promising applications such as intelligent transportation system, disaster management, search and rescue, public safety, smart delivery, wild species monitoring, and wireless service area extension. More specifically, as a part of the wireless service extension, we deal with the information dissemination and collection using a UAV in this paper. In this application, because the UAV communicates with each CH (Cluster Head) to collect data from sensor nodes or to disseminate information to the sensor nodes, well-behaved and qualified nodes should be elected as CHs and their integrity should be preserved. Even though a UAV makes the information dissemination and collection process efficient in a WSN, we can make the UAV help the election of new CHs to mitigate the threat of compromised CHs. To this aim, we first propose a UAV-aided CH election framework where a UAV delivers the critical information collected from sensors to the sink, and the sink reselects a set of well-behaved and qualified CHs considering the information. Then, we classify the existing security-driven CH election schemes into several categories and explain the principle of each category and its representative schemes. For each representative scheme, we also explain how to adapt it into the UAV-aided CH election framework. Next, we identify some desirable security properties that a CH election scheme should provide and reveal the security level that each representative scheme reaches for the desirable security properties. Next, we compare communication and computation overhead of the security-driven CH election schemes in terms of the big O notation. In conclusion, we reveal what we have learned from this survey work and provide a future work item.

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“…14 Some of these applications include, but not limited to, image querying, 15 target tracking, 16 and searching for disaster victims. 17 1. Image querying application (visual sensor networks).…”

Section: Introductionmentioning

confidence: 99%

Multi-mobile agent itinerary planning algorithms for data gathering in wireless sensor networks: A review paper

Qadori

Zulkarnain

Hanapi

et al. 2017

International Journal of Distributed Sensor Networks

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Recently, wireless sensor networks have employed the concept of mobile agent to reduce energy consumption and obtain effective data gathering. Typically, in data gathering based on mobile agent, it is an important and essential step to find out the optimal itinerary planning for the mobile agent. However, single-agent itinerary planning suffers from two primary disadvantages: task delay and large size of mobile agent as the scale of the network is expanded. Thus, using multi-agent itinerary planning overcomes the drawbacks of single-agent itinerary planning. Despite the advantages of multi-agent itinerary planning, finding the optimal number of distributed mobile agents, source nodes grouping, and optimal itinerary of each mobile agent for simultaneous data gathering are still regarded as critical issues in wireless sensor network. Therefore, in this article, the existing algorithms that have been identified in the literature to address the above issues are reviewed. The review shows that most of the algorithms used one parameter to find the optimal number of mobile agents in multi-agent itinerary planning without utilizing other parameters. More importantly, the review showed that theses algorithms did not take into account the security of the data gathered by the mobile agent. Accordingly, we indicated the limitations of each proposed algorithm and new directions are provided for future research.

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UAV-assisted data gathering in wireless sensor networks

Cited by 156 publications

References 17 publications

Design and Application of Intelligent Monitoring System for Laminated Henhouse with Six Overlap Tiers Cages

Design and Application of Intelligent Monitoring System for Laminated Henhouse with Six Overlap Tiers Cages

A UAV-Aided Cluster Head Election Framework and Applying Such to Security-Driven Cluster Head Election Schemes: A Survey

Multi-mobile agent itinerary planning algorithms for data gathering in wireless sensor networks: A review paper

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