Dynamic Hierarchical Sleep Scheduling for Wireless Ad-Hoc Sensor Networks

Wen, Chih-Yu; Chen, Ying-Chih

doi:10.3390/s90503908

Cited by 7 publications

(5 citation statements)

References 32 publications

(39 reference statements)

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“…Queries and control commands are sent from this node to the network and collected data are returned to it. [ 17 ]…”

Section: Resultsmentioning

confidence: 99%

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A review on equipped hospital beds with wireless sensor networks for reducing bedsores

Ajami¹,

Khaleghi²

2015

J Res Med Sci

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At present, the solutions to prevent bedsore include using various techniques for movement and displacement of patients, which is not possible for some patients or dangerous for some of them while it also poses problems for health care providers. On the other hand, development of information technology in the health care system including application of wireless sensor networks (WSNs) has led to easy and quick service-providing. It can provide a solution to prevent bedsore in motionless and disabled patients. Hence, the aim of this article was first to introduce WSNs in hospital beds and second, to identify the benefits and challenges in implementing this technology. This study was a nonsystematic review. The literature was searched for WSNs to reduce and prevent bedsores with the help of libraries, databases (PubMed, SCOPUS, and EMBASE), and also searches engines available at Google Scholar including during 1974-2014 while the inclusion criteria were applied in English and Persian. In our searches, we employed the following keywords and their combinations: “wireless sensor network,” “smart bed,” “information technology,” “smart mattress,” and “bedsore” in the searching areas of titles, keywords, abstracts, and full texts. In this study, more than 45 articles and reports were collected and 37 of them were selected based on their relevance. Therefore, identification and implementation of this technology will be a step toward mechanization of traditional procedures in providing care for hospitalized patients and disabled people. The smart bed and mattress, either alone or in combination with the other technologies, should be capable of providing all of the novel features while still providing the comfort and safety features usually associated with traditional and hospital mattresses. It can eliminate the expense of bedsore in the intensive care unit (ICU) department in the hospital and save much expense there.

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“…Queries and control commands are sent from this node to the network and collected data are returned to it. [ 17 ]…”

Section: Resultsmentioning

confidence: 99%

“…Semi-automatic structure: In this structure, data are conducted by the nodes to the sink and commands are distributed to the operate node through the sink [ Figure 3 ]. [ 17 ]…”

Section: Resultsmentioning

confidence: 99%

A review on equipped hospital beds with wireless sensor networks for reducing bedsores

Ajami¹,

Khaleghi²

2015

J Res Med Sci

View full text Add to dashboard Cite

show abstract

“…According to function and logical organization, there are three types of network architecture: flat [19], hierarchical [20,21] and hybrid [22]. A flat network is known as a non-hierarchical network, of which the property and function are the same for all sensors, such as RIS [23], MSNL [24], LADS [25] and ASCEMT [26].…”

Section: Related Workmentioning

confidence: 99%

A Transmission Power Optimization with a Minimum Node Degree for Energy-Efficient Wireless Sensor Networks with Full-Reachability

Chen

Horng

et al. 2013

Sensors

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Transmission power optimization is the most significant factor in prolonging the lifetime and maintaining the connection quality of wireless sensor networks. Un-optimized transmission power of nodes either interferes with or fails to link neighboring nodes. The optimization of transmission power depends on the expected node degree and node distribution. In this study, an optimization approach to an energy-efficient and full reachability wireless sensor network is proposed. In the proposed approach, an adjustment model of the transmission range with a minimum node degree is proposed that focuses on topology control and optimization of the transmission range according to node degree and node density. The model adjusts the tradeoff between energy efficiency and full reachability to obtain an ideal transmission range. In addition, connectivity and reachability are used as performance indices to evaluate the connection quality of a network. The two indices are compared to demonstrate the practicability of framework through simulation results. Furthermore, the relationship between the indices under the conditions of various node degrees is analyzed to generalize the characteristics of node densities. The research results on the reliability and feasibility of the proposed approach will benefit the future real deployments.

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“…The problem of sensor scheduling with a mobile sink is studied by Maheswararajah et al [ 30 ], with focus on minimizing the total energy consumed by sensor nodes while avoiding measurement losses. Two sleep scheduling management schemes for WSNs are presented in [ 31 ]. In [ 32 ], high-resolution images with a wide field of view are generated with minimum energy dissipation.…”

Section: In This Issuementioning

confidence: 99%

Wireless Sensor Technologies and Applications

Xia

2009

Sensors

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Recent years have witnessed tremendous advances in the design and applications of wirelessly networked and embedded sensors. Wireless sensor nodes are typically low-cost, low-power, small devices equipped with limited sensing, data processing and wireless communication capabilities, as well as power supplies. They leverage the concept of wireless sensor networks (WSNs), in which a large (possibly huge) number of collaborative sensor nodes could be deployed. As an outcome of the convergence of micro-electro-mechanical systems (MEMS) technology, wireless communications, and digital electronics, WSNs represent a significant improvement over traditional sensors. In fact, the rapid evolution of WSN technology has accelerated the development and deployment of various novel types of wireless sensors, e.g., multimedia sensors. Fulfilling Moore’s law, wireless sensors are becoming smaller and cheaper, and at the same time more powerful and ubiquitous. [...

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Dynamic Hierarchical Sleep Scheduling for Wireless Ad-Hoc Sensor Networks

Cited by 7 publications

References 32 publications

A review on equipped hospital beds with wireless sensor networks for reducing bedsores

A review on equipped hospital beds with wireless sensor networks for reducing bedsores

A Transmission Power Optimization with a Minimum Node Degree for Energy-Efficient Wireless Sensor Networks with Full-Reachability

Wireless Sensor Technologies and Applications

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