An Optimized Handover Scheme with Movement Trend Awareness for Body Sensor Networks

Sun, Wen; Zhang, Zhiqiang; Ji, Lijun; Wong, Wai-Choong

doi:10.3390/s130607308

Cited by 2 publications

(2 citation statements)

References 24 publications

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“…In recent years, with the popularization of wearable sensors and telemedicine, body sensor networks (BSN), which comprise multiple sensor nodes and a coordinator worn on a human body, can collect the personal information of the human body (such as heart rate, blood glucose and electrocardiogram) by sensor nodes [ 1 , 2 , 3 , 4 , 5 , 6 ]. The collected information first is delivered to the coordinator, then is forwarded to a remote server through a network interface for further processing [ 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Secure and Privacy-Preserving Body Sensor Data Collection and Query Scheme

Zhu

Gao

2016

Sensors

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With the development of body sensor networks and the pervasiveness of smart phones, different types of personal data can be collected in real time by body sensors, and the potential value of massive personal data has attracted considerable interest recently. However, the privacy issues of sensitive personal data are still challenging today. Aiming at these challenges, in this paper, we focus on the threats from telemetry interface and present a secure and privacy-preserving body sensor data collection and query scheme, named SPCQ, for outsourced computing. In the proposed SPCQ scheme, users’ personal information is collected by body sensors in different types and converted into multi-dimension data, and each dimension is converted into the form of a number and uploaded to the cloud server, which provides a secure, efficient and accurate data query service, while the privacy of sensitive personal information and users’ query data is guaranteed. Specifically, based on an improved homomorphic encryption technology over composite order group, we propose a special weighted Euclidean distance contrast algorithm (WEDC) for multi-dimension vectors over encrypted data. With the SPCQ scheme, the confidentiality of sensitive personal data, the privacy of data users’ queries and accurate query service can be achieved in the cloud server. Detailed analysis shows that SPCQ can resist various security threats from telemetry interface. In addition, we also implement SPCQ on an embedded device, smart phone and laptop with a real medical database, and extensive simulation results demonstrate that our proposed SPCQ scheme is highly efficient in terms of computation and communication costs.

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Section: Introductionmentioning

confidence: 99%

Secure and Privacy-Preserving Body Sensor Data Collection and Query Scheme

Zhu

Gao

2016

Sensors

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“…Wearable sensor systems have been attracting intense research interest over the recent years due to their potential in practical applications such as healthcare monitoring, sports training, and interactive gaming [ 1 , 2 ]. A wearable sensor system can be also referred to as body sensor network (BSN), which comprises multiple sensor nodes and a coordinator worn on a human body.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Wearable Sensor Systems: A Case Study in Moderate-Scale Deployment in Hospital Environment

Sun

Zhang

et al. 2015

Sensors

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A wearable sensor system enables continuous and remote health monitoring and is widely considered as the next generation of healthcare technology. The performance, the packet error rate (PER) in particular, of a wearable sensor system may deteriorate due to a number of factors, particularly the interference from the other wearable sensor systems in the vicinity. We systematically evaluate the performance of the wearable sensor system in terms of PER in the presence of such interference in this paper. The factors that affect the performance of the wearable sensor system, such as density, traffic load, and transmission power in a realistic moderate-scale deployment case in hospital are all considered. Simulation results show that with 20% duty cycle, only 68.5% of data transmission can achieve the targeted reliability requirement (PER is less than 0.05) even in the off-peak period in hospital. We then suggest some interference mitigation schemes based on the performance evaluation results in the case study.

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An Optimized Handover Scheme with Movement Trend Awareness for Body Sensor Networks

Cited by 2 publications

References 24 publications

Secure and Privacy-Preserving Body Sensor Data Collection and Query Scheme

Secure and Privacy-Preserving Body Sensor Data Collection and Query Scheme

Performance Evaluation of Wearable Sensor Systems: A Case Study in Moderate-Scale Deployment in Hospital Environment

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