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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

End-to-end delay for PT, SPIN, MCMP, MMSPEED and EAP.
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sensors-15-16162-f009: End-to-end delay for PT, SPIN, MCMP, MMSPEED and EAP.

Mentions: The end-to-end delay is one of the most significant parameters for improving the QoS for WSNs. Many WSN applications require an end-to-end delay for time-sensitive data. However, this delay is difficult to bound for event-driven WSNs, in which the sensor nodes produce and broadcast data only when an event of interest occurs, thus creating a variable traffic load. The end-to-end delay is also tightly linked to other factors, such as the network capacity, energy, and the relative location of the sensors and sink nodes. In real-time applications, packets are dropped when they are transmitted with excessive delays. Figure 9 presents the end-to-end delays of PT, MCMP, MMSPEED, SPIN and EAP.


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

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

End-to-end delay for PT, SPIN, MCMP, MMSPEED and EAP.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-16162-f009: End-to-end delay for PT, SPIN, MCMP, MMSPEED and EAP.
Mentions: The end-to-end delay is one of the most significant parameters for improving the QoS for WSNs. Many WSN applications require an end-to-end delay for time-sensitive data. However, this delay is difficult to bound for event-driven WSNs, in which the sensor nodes produce and broadcast data only when an event of interest occurs, thus creating a variable traffic load. The end-to-end delay is also tightly linked to other factors, such as the network capacity, energy, and the relative location of the sensors and sink nodes. In real-time applications, packets are dropped when they are transmitted with excessive delays. Figure 9 presents the end-to-end delays of PT, MCMP, MMSPEED, SPIN and EAP.

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