2015 International Conference on Intelligent Environments 2015
DOI: 10.1109/ie.2015.15
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An Android-Based Mobile 6LoWPAN Network Architecture for Pervasive Healthcare

Abstract: Embedded sensors are increasingly seen in modern mobile and wearable devices to support better user activities and vital signs monitoring. While more wireless sensing devices are becoming available, network connectivity and scalability remain the key obstacles in achieving seamless information flow and service provision as envisaged by the vision of the Internet of Things. In this paper, a mobile 6LoWPAN network architecture is proposed by engaging Android-based mobile devices as edge routers to address the co… Show more

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Cited by 6 publications
(3 citation statements)
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References 16 publications
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“…On IoT 923 publications are related to RFID, where security authentication [153][154][155], wireless sensors networks [156,157], privacy [158,159], and electronic product code (ECP) [160,161] were major applications. Next, 6LoWPAN appears in 230 publications, with documents related to upper layer protocols such as Constrained Application Protocol (CoAP) [162,163], Routing Protocol for Low power and Lossy Networks (RPL) [164,165], and operating systems like Contiki [166,167], and Android [168,169]. With similar growth, ZigBee follows with 222 documents, and research integrates this protocol with solutions such as RFID [170][171][172], or applications like smart home [95,173,174], and health care [175][176][177].…”
Section: Communication Protocols According To Open Systems Interconnementioning
confidence: 99%
“…On IoT 923 publications are related to RFID, where security authentication [153][154][155], wireless sensors networks [156,157], privacy [158,159], and electronic product code (ECP) [160,161] were major applications. Next, 6LoWPAN appears in 230 publications, with documents related to upper layer protocols such as Constrained Application Protocol (CoAP) [162,163], Routing Protocol for Low power and Lossy Networks (RPL) [164,165], and operating systems like Contiki [166,167], and Android [168,169]. With similar growth, ZigBee follows with 222 documents, and research integrates this protocol with solutions such as RFID [170][171][172], or applications like smart home [95,173,174], and health care [175][176][177].…”
Section: Communication Protocols According To Open Systems Interconnementioning
confidence: 99%
“…Wang et al 13 propose a healthcare system using 6LoWPAN. An Android smartphone is used to act as a border router, and AWSAM‐3 is used as wearable sensor node to measure the patient's vital signs and relay collected information to a remote server.…”
Section: Related Workmentioning
confidence: 99%
“…A m-health faz uso de sensores IoT afixados ao corpo para a medição dos sinais vitais formando, dessa maneira, uma rede chamada de Wireless Body Area Network (WBAN) [Castillejo et al 2013]. Todavia, esses sensores dispõem de capacidade limitada de processamento e possuem um rádio integrado para transmissão dos dados coletados [Wang et al 2015], sendo necessário um equipamento externo que receba e envie esses dadosàs aplicações externas que os requisitem, ou ainda que cada aplicação conecte-se diretamente ao(s) sensor(es) corporais desejados.…”
Section: Introductionunclassified