Opportunistic computing for wireless sensor networks

Avvenuti, Marco; Corsini, Paolo; Masci, Paolo; Vecchio, Alessio

doi:10.1109/mobhoc.2007.4428751

Cited by 16 publications

(11 citation statements)

References 16 publications

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“…This concept considers the opportunistic and collaborative use of any resource available in the network, exploiting the functionality of the other available devices in the environment and maybe changing node roles during runtime (Avvenuti et al, 2007).…”

Section: Resultsmentioning

confidence: 99%

Advanced Energy Efficient Communication Techniques for Wireless Ad Hoc and Sensor Networks

Poulakis¹,

Panagopoulos²,

Constantinou³

2012

Advances and Applications in Mobile Computing

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Section: Resultsmentioning

confidence: 99%

Advanced Energy Efficient Communication Techniques for Wireless Ad Hoc and Sensor Networks

Poulakis¹,

Panagopoulos²,

Constantinou³

2012

Advances and Applications in Mobile Computing

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“…It became an interesting field for research and development [36]. The study in [37] addresses the problem of storing and executing an application that surpasses the memory resources available on a single node. Their work was based on dividing the code into a number of modules that are cooperating opportunistically.…”

Section: Related Workmentioning

confidence: 99%

Privacy-Preserving Healthcare System for Clinical Decision-Support and Emergency Call Systems

Alabdulkarim¹,

Al-Rodhaan²,

Tian³

2017

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Healthcare centers always aim to deliver the best quality healthcare services to patients and earn their satisfaction. Technology has played a major role in achieving these goals, such as clinical decision-support systems and mobile health social networks. These systems have improved the quality of care services by speeding-up the diagnosis process with accuracy, and allowing caregivers to monitor patients remotely through the use of WBS, respectively. However, these systems' accuracy and efficiency are dependent on patients' health information, which must be inevitably shared over the network, thus exposing them to cyber-attacks. Therefore, privacy-preserving services are ought to be employed to protect patients' privacy. In this work, we proposed a privacy-preserving healthcare system, which is composed of two subsystems. The first is a privacy-preserving clinical decision-support system. The second subsystem is a privacy-preserving Mobile Health Social Network (MHSN). The former was based on decision tree classifier that is used to diagnose patients with new symptoms without disclosing patients' records. Whereas the latter would allow physicians to monitor patients' current condition remotely through WBS; thus sending help immediately in case of a distress situation detected. The social network, which connects patients of similar symptoms together, would also provide the service of seeking help of near-by passing people while the patient is waiting for an ambulance to arrive. Our model is expected to improve healthcare services while protecting patients' privacy.

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“…Recently, opportunistic computing, as a new pervasive computing paradigm, has received much attention [6], [7], [8], [9]. Essentially, opportunistic computing is characterized by exploiting all available computing resources in an opportunistic environment to provide a platform for the distributed execution of a computing-intensive task [9].…”

Section: Fig 1 Pervasive Health Monitoring In M-healthcare Systemmentioning

confidence: 99%

“…Essentially, opportunistic computing is characterized by exploiting all available computing resources in an opportunistic environment to provide a platform for the distributed execution of a computing-intensive task [9]. For example, once the execution of a task exceeds the energy and computing power available on a single node, other opportunistically contacted nodes can contribute to the execution of the original task by running a subset of task, so that the original task can be reliably performed [6]. Obviously, opportunistic computing paradigm can be applied in m-Healthcare emergency to resolve the challenging reliability issue in PHI process.…”

Section: Fig 1 Pervasive Health Monitoring In M-healthcare Systemmentioning

confidence: 99%

SPOC: A Secure and Privacy-Preserving Opportunistic Computing Framework for Mobile-Healthcare Emergency

Lin

Shen

2013

IEEE Trans. Parallel Distrib. Syst.

241

163

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Abstract-With the pervasiveness of smart phones and the advance of wireless body sensor networks (BSNs), mobile Healthcare (m-Healthcare), which extends the operation of Healthcare provider into a pervasive environment for better health monitoring, has attracted considerable interest recently. However, the flourish of m-Healthcare still faces many challenges including information security and privacy preservation. In this paper, we propose a secure and privacy-preserving opportunistic computing framework, called SPOC, for m-Healthcare emergency. With SPOC, smart phone resources including computing power and energy can be opportunistically gathered to process the computing-intensive personal health information (PHI) during m-Healthcare emergency with minimal privacy disclosure. In specific, to leverage the PHI privacy disclosure and the high reliability of PHI process and transmission in m-Healthcare emergency, we introduce an efficient user-centric privacy access control in SPOC framework, which is based on an attribute-based access control and a new privacy-preserving scalar product computation (PPSPC) technique, and allows a medical user to decide who can participate in the opportunistic computing to assist in processing his overwhelming PHI data. Detailed security analysis shows that the proposed SPOC framework can efficiently achieve user-centric privacy access control in m-Healthcare emergency. In addition, performance evaluations via extensive simulations demonstrate the SPOC's effectiveness in term of providing high reliable PHI process and transmission while minimizing the privacy disclosure during m-Healthcare emergency.

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Opportunistic computing for wireless sensor networks

Cited by 16 publications

References 16 publications

Advanced Energy Efficient Communication Techniques for Wireless Ad Hoc and Sensor Networks

Advanced Energy Efficient Communication Techniques for Wireless Ad Hoc and Sensor Networks

Privacy-Preserving Healthcare System for Clinical Decision-Support and Emergency Call Systems

SPOC: A Secure and Privacy-Preserving Opportunistic Computing Framework for Mobile-Healthcare Emergency

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