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Modular Energy-Efficient and Robust Paradigms for a Disaster-Recovery Process over Wireless Sensor Networks.

Razaque A, Elleithy K - Sensors (Basel) (2015)

Bottom Line: The lack of robust and efficient paradigms causes a reduction in the provision of quality of service (QoS) and additional energy consumption.O-MAC uses an optimized data frame format that reduces the channel access time and provides faster data delivery over the medium.The simulation results indicate that O-MAC with PT produced better outcomes.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science, University of Bridgeport, 126 Park Avenue, Bridgeport, CT 06604, USA. arazaque@my.bridgeport.edu.

ABSTRACT
Robust paradigms are a necessity, particularly for emerging wireless sensor network (WSN) applications. The lack of robust and efficient paradigms causes a reduction in the provision of quality of service (QoS) and additional energy consumption. In this paper, we introduce modular energy-efficient and robust paradigms that involve two archetypes: (1) the operational medium access control (O-MAC) hybrid protocol and (2) the pheromone termite (PT) model. The O-MAC protocol controls overhearing and congestion and increases the throughput, reduces the latency and extends the network lifetime. O-MAC uses an optimized data frame format that reduces the channel access time and provides faster data delivery over the medium. Furthermore, O-MAC uses a novel randomization function that avoids channel collisions. The PT model provides robust routing for single and multiple links and includes two new significant features: (1) determining the packet generation rate to avoid congestion and (2) pheromone sensitivity to determine the link capacity prior to sending the packets on each link. The state-of-the-art research in this work is based on improving both the QoS and energy efficiency. To determine the strength of O-MAC with the PT model; we have generated and simulated a disaster recovery scenario using a network simulator (ns-3.10) that monitors the activities of disaster recovery staff; hospital staff and disaster victims brought into the hospital. Moreover; the proposed paradigm can be used for general purpose applications. Finally; the QoS metrics of the O-MAC and PT paradigms are evaluated and compared with other known hybrid protocols involving the MAC and routing features. The simulation results indicate that O-MAC with PT produced better outcomes.

No MeSH data available.


Related in: MedlinePlus

Deployment of a WSN for monitoring the disaster recovery process.
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sensors-15-16162-f001: Deployment of a WSN for monitoring the disaster recovery process.

Mentions: Each network region monitors the different events of the disaster recovery operation for the collection of the data depicted in Figure 1. In each region, there are three events to be monitored. Region “A” monitors the activities of the rescue team members and victims of the disaster. In region “A”, 90% of the nodes are mobile sensors with human-sensual capabilities attached to the body of rescue team members for collecting and processing the sensory information of victims and coordinating with mobile sensors attached to other staff (e.g., ambulances, fire brigades, firefighters). We assume that the other 10% are static sensor nodes that are already deployed for the protection of each region. Region B monitors the performance and activities of doctors, nurses and other staff in the disaster situation so that their roles and effectiveness in responding to the disaster situation can be analyzed. In region “B”, 50% of the nodes were assumed to be static and deployed in different parts of the hospital building, and the remaining 50% were mobile sensor nodes attached to the body of doctors, nurses and other staff. Region “C” collects updated information regarding victims who were brought into the hospital for treatment. In region “C”, 20% of the nodes are mobile sensor nodes that are attached to the body of wounded people because static sensor nodes could increase the anxiety level of those injured persons, which would be challenging for the staff to manage.


Modular Energy-Efficient and Robust Paradigms for a Disaster-Recovery Process over Wireless Sensor Networks.

Razaque A, Elleithy K - Sensors (Basel) (2015)

Deployment of a WSN for monitoring the disaster recovery process.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541873&req=5

sensors-15-16162-f001: Deployment of a WSN for monitoring the disaster recovery process.
Mentions: Each network region monitors the different events of the disaster recovery operation for the collection of the data depicted in Figure 1. In each region, there are three events to be monitored. Region “A” monitors the activities of the rescue team members and victims of the disaster. In region “A”, 90% of the nodes are mobile sensors with human-sensual capabilities attached to the body of rescue team members for collecting and processing the sensory information of victims and coordinating with mobile sensors attached to other staff (e.g., ambulances, fire brigades, firefighters). We assume that the other 10% are static sensor nodes that are already deployed for the protection of each region. Region B monitors the performance and activities of doctors, nurses and other staff in the disaster situation so that their roles and effectiveness in responding to the disaster situation can be analyzed. In region “B”, 50% of the nodes were assumed to be static and deployed in different parts of the hospital building, and the remaining 50% were mobile sensor nodes attached to the body of doctors, nurses and other staff. Region “C” collects updated information regarding victims who were brought into the hospital for treatment. In region “C”, 20% of the nodes are mobile sensor nodes that are attached to the body of wounded people because static sensor nodes could increase the anxiety level of those injured persons, which would be challenging for the staff to manage.

Bottom Line: The lack of robust and efficient paradigms causes a reduction in the provision of quality of service (QoS) and additional energy consumption.O-MAC uses an optimized data frame format that reduces the channel access time and provides faster data delivery over the medium.The simulation results indicate that O-MAC with PT produced better outcomes.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science, University of Bridgeport, 126 Park Avenue, Bridgeport, CT 06604, USA. arazaque@my.bridgeport.edu.

ABSTRACT
Robust paradigms are a necessity, particularly for emerging wireless sensor network (WSN) applications. The lack of robust and efficient paradigms causes a reduction in the provision of quality of service (QoS) and additional energy consumption. In this paper, we introduce modular energy-efficient and robust paradigms that involve two archetypes: (1) the operational medium access control (O-MAC) hybrid protocol and (2) the pheromone termite (PT) model. The O-MAC protocol controls overhearing and congestion and increases the throughput, reduces the latency and extends the network lifetime. O-MAC uses an optimized data frame format that reduces the channel access time and provides faster data delivery over the medium. Furthermore, O-MAC uses a novel randomization function that avoids channel collisions. The PT model provides robust routing for single and multiple links and includes two new significant features: (1) determining the packet generation rate to avoid congestion and (2) pheromone sensitivity to determine the link capacity prior to sending the packets on each link. The state-of-the-art research in this work is based on improving both the QoS and energy efficiency. To determine the strength of O-MAC with the PT model; we have generated and simulated a disaster recovery scenario using a network simulator (ns-3.10) that monitors the activities of disaster recovery staff; hospital staff and disaster victims brought into the hospital. Moreover; the proposed paradigm can be used for general purpose applications. Finally; the QoS metrics of the O-MAC and PT paradigms are evaluated and compared with other known hybrid protocols involving the MAC and routing features. The simulation results indicate that O-MAC with PT produced better outcomes.

No MeSH data available.


Related in: MedlinePlus