scholarly journals An Optimization Scheme for M2M-Based Patient Monitoring in Ubiquitous Healthcare Domain

2012 ◽  
Vol 8 (4) ◽  
pp. 708762 ◽  
Author(s):  
Sungmo Jung ◽  
Jae Young Ahn ◽  
Dae-Joon Hwang ◽  
Seoksoo Kim
Keyword(s):  
Sensor Networks ◽  
Continuous Monitoring ◽  
Large Scale ◽  
Patient Monitoring ◽  
Human Interaction ◽  
Sensor Data ◽  
Wireless Multimedia ◽  
Optimization Scheme ◽  
Ubiquitous Healthcare ◽  
Multimedia Sensor Networks

In ubiquitous healthcare systems, machine-to-machine (M2M) communication promises large opportunities as it utilizes rapidly developing technologies of large-scale networking of devices for patient monitoring without dependence on human interaction. With the emergence of wireless multimedia sensor networks (WMSNs), M2M communications improve continuous monitoring and transmission and retrieval of multimedia content such as video and audio streams, images, and sensor data from the patient being monitored. This research deploys WMSN for continuous monitoring of target patients and reports tracking for preventive ubiquitous healthcare. This study performs optimization scheme movement coordination technique and data routing within the monitored area. A movement tracking algorithm is proposed for better patient tracking techniques and aids in optimal deployment of wireless sensor networks. Results show that our optimization scheme is capable of providing scalable and reliable patient monitoring results.

scholarly journals QoS Strategies for Wireless Multimedia Sensor Networks in the Context of IoT at the MAC Layer, Application Layer, and Cross-Layer Algorithms

2019 ◽  
Vol 2019 ◽  
pp. 1-33
Author(s):  
Muwonge Ssajjabbi Bernard ◽  
Tingrui Pei ◽  
Kimbugwe Nasser
Keyword(s):  
Energy Efficiency ◽  
Sensor Networks ◽  
System Optimization ◽  
Wireless Multimedia Sensor Networks ◽  
Sensor Data ◽  
Cross Layer ◽  
Wireless Multimedia ◽  
Application Layer ◽  
Mac Layer ◽  
Multimedia Sensor Networks

Wireless multimedia sensor networks (WMSNs) have got capacity to collect both scalar sensor data and multidimensional sensor data. It is the basis for the Internet of things (IoT). Quality of service (QoS) pointers like energy efficiency, reliability, bit error rate, and latency can be helpful in data collection estimation over a network. In this paper, we review a number of QoS strategies for WMSNs and wireless sensor networks (WSNs) in the IoT context from the perspective of the MAC and application layers as well as the cross-layer paradigm. Considering the MAC layer, since it is responsible for regulating the admittance to the shared medium and transmission reliability and efficiency through error correction in wireless transmissions, and for performance of framing, addressing, and flow control, the MAC protocol design greatly affects energy efficiency. We thus review a number of protocols here including contention-free and contention-based protocols as well as the hybrid of these. This paper also surveys a number of state-of-the-art machine-to-machine, publish/subscribe, and request/response protocols at the application layer. Cross-layer QoS strategies are very vital when it comes to system optimization. Many cross-layer strategies have been reviewed. For these QoS strategies, the challenges and opportunities are reviewed at each of the layers considered. Lastly, the future research directions for QoS strategies are discussed for research and application before concluding this paper.

scholarly journals A novel cooperative ant-based clustering approach for wireless multimedia sensor networks

2015 ◽  
Vol 2 (1) ◽  
pp. 7
Author(s):  
Luis Cobo
Keyword(s):  
Sensor Networks ◽  
Large Scale ◽  
Cluster Head ◽  
Virtual Backbone ◽  
Wireless Multimedia ◽  
Multimedia Sensor Networks ◽  
Cluster Heads ◽  
Main Requirement ◽  
Cohesive Group ◽  
Clustering Approach

ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍAThis Cluster has been well received as one of the most effective solutions to enhance energy efficiency and scalability of large-scale wireless sensor networks. However, it is rather challenging to conforma cohesive group of Clusters having permanent communication  among Cluster heads. In this paper, a unique look at the Cluster head election problem is taken into account, specifically concentrating on applications in which the formation and maintenance  of a virtual backbone among Cluster heads is the main requirement.  Our  approach  for  Cluster-based  network  organization  is based on the use of collective social agents in order to lead the formation of these Clusters. Our algorithm uses ants to choose good Cluster head candidates and to create a virtual backbone among these router nodes.  

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