Building a Smart Home System with WSN and Service Robot

Wang, Huiyong; Wang, Jingyang; Huang, Min

doi:10.1109/icmtma.2013.90

Cited by 26 publications

(16 citation statements)

References 8 publications

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“…Safety control refers to, in network information system, control and manage the operation and process of information storage and transmission, mainly including security control of the operating system, security control of network interface module, and security control of network interconnection equipment [3]. It just provides simple preliminary information security and protection.…”

Section: Concept Of Network Security and Its Level Structurementioning

confidence: 99%

Research of Network Security Technology in Smart Home

Chen¹

2016

Proceedings of the 2016 International Conference on Computer Engineering, Information Science &Amp; Application Technology (ICC

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Abstract. Under the background of the development of computer technology and information technology, the smart home network has been gradually improved, surpassed the previous development, and gained new progress. The realization of smart home system needs network security technology as a guarantee. Although the smart home system has made progress, while for maintaining the harmony and coordination of the families' facilities and the residential environment, there are a lot of technical problems needed to be solved at present. For example, many safety standards need to be unified. This paper, from the realization of the domestic and international research situation of smart home, an overview of the network security technology, smart home network framework, and the existing smart home network security system to study on the application and research of network security technology in smart home, and then analyzes and draws the conclusion. In a word, to achieve the security of smart home system needs network security technology continuing to progress, so it also requires long-term efforts.

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Section: Concept Of Network Security and Its Level Structurementioning

confidence: 99%

Research of Network Security Technology in Smart Home

Chen¹

2016

Proceedings of the 2016 International Conference on Computer Engineering, Information Science &Amp; Application Technology (ICC

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“…The main task of this algorithm is to accomplish the grid division of the whole region. And then use Algorithm 2 to calculate the minimum Input: An cover area of circular region ; Output: Minimum cover of this region ; (1) Initialize set (V, ℎ) as all elements in ; (2) Initialize Count as the size of (V, ℎ); (3) while Count decreased by 1 after every loop do (4) if all of the combination of the left -Sector can't cover all elements then (5) = ; (6) return ; (7) else (8) S e t as the current combination; (9) end if (10) end while Algorithm 2: CALCOVER.…”

Section: The Minimum Spanning Circlementioning

confidence: 99%

“…; Output: A series of points represent the final solution min ; (1) for V = 0; V < ; V++ do (2) for ℎ = 0; ℎ < ; ℎ++ do (3) Calculate the non-empty sub-grid set (V, ℎ); (4) for every element in (V, ℎ) do (5) Calculate the minimum cover set (V, ℎ) = MINCOVER( ); (6) M e r g e (V, ℎ) into global mininum cover (V, ℎ) = ⋃ ∈ (V,ℎ) (V, ℎ);…”

Section: Inputmentioning

confidence: 99%

“…According to the scale of the sensor networks applied in different fields, sensor networks can be divided into large-scale sensor networks and small-scale sensor networks. Small-scale sensor networks are WSNs that are deployed in homes [4], offices [5], and hospitals [6] that cover a smaller scale area. They are used to provide an intelligent human centered environment, known as the smart environment.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Efficient Aerial Data Collection with UAV in Large-Scale Wireless Sensor Networks

Chen

Yan

et al. 2015

International Journal of Distributed Sensor Networks

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Data collection from deployed sensor networks can be with static sink, ground-based mobile sink, or Unmanned Aerial Vehicle (UAV) based mobile aerial data collector. Considering the large-scale sensor networks and peculiarity of the deployed environments, aerial data collection based on controllable UAV has more advantages. In this paper, we have designed a basic framework for aerial data collection, which includes the following five components: deployment of networks, nodes positioning, anchor points searching, fast path planning for UAV, and data collection from network. We have identified the key challenges in each of them and have proposed efficient solutions. This includes proposal of a Fast Path Planning with Rules (FPPWR) algorithm based on grid division, to increase the efficiency of path planning, while guaranteeing the length of the path to be relatively short. We have designed and implemented a simulation platform for aerial data collection from sensor networks and have validated performance efficiency of the proposed framework based on the following parameters: time consumption of the aerial data collection, flight path distance, and volume of collected data.

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“…These devices perform three basic tasks: sample a physical quantity from the surrounding environment, process the acquired data, and send it to a sink node or a base station [1]. There are many examples such as structural health monitoring, military, some smart home applications, agriculture and wild animal observation and so on [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

An Optimal Data Gathering Method for Mobile Sinks in WSNs

Djuraev

Ahn

2017

Wireless Pers Commun

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In Wireless Sensor Networks (WSN), energy is one of the most important resources since each node collects, processes and transmits data to its base station. Most of the traditional works in WSNs are consisted of static nodes and one base station. Recently, some mobile data gathering methods are proposed to prolong the operation time of sensor networks. One or more mobile collectors are used to gather sensed data from sensor nodes at short transmission ranges. This paper presents to find optimal visiting points and data gathering path for a mobile sink within clusters. With defining an optimal clustering and data gathering path, this method improves the data collection performance as well as the network lifetime extension of sensor networks. The network lifetime is increased to 20% when sensor nodes are divided into from 4 clusters to 15 clusters.

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Building a Smart Home System with WSN and Service Robot

Cited by 26 publications

References 8 publications

Research of Network Security Technology in Smart Home

Research of Network Security Technology in Smart Home

Efficient Aerial Data Collection with UAV in Large-Scale Wireless Sensor Networks

An Optimal Data Gathering Method for Mobile Sinks in WSNs

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