A real time MAC protocol for mobile ad hoc networks application

Chen, Danqi; Gao, Fuqing; Pang, Guoli; Feng, Jufu; Wang, Xiaoying

doi:10.1109/icsai.2012.6223288

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…For reliable transmission in a disaster-monitoring system, the operating mode under abnormal situations should be considered in HT-MAC. In the following, we analyze abnormal situations and describe the handling methods based on the previous work [48].…”

Section: Abnormity Handlingmentioning

confidence: 99%

A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks

Chen

Zhang

Pang

et al. 2023

Sensors

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Disaster monitoring is a primary task for wireless sensor networks. Systems for the rapid reporting of earthquake information are a crucial aspect of disaster monitoring. Furthermore, during emergency rescue after a large earthquake, wireless sensor networks can provide pictures and sound information to save lives. Therefore, when accompanied by multimedia data flow, the alert and seismic data sent by the seismic monitoring nodes must be sufficiently fast. We present herein the architecture of a collaborative disaster-monitoring system that can obtain seismic data in a highly energy-efficient manner. In this paper, a hybrid superior node token ring MAC scheme is proposed for disaster monitoring in wireless sensor networks. This scheme consists of set-up and steady-state stages. A clustering approach was proposed for heterogeneous networks during the set-up stage. The proposed MAC operates in the duty cycle mode at the steady-state stage and is based on the virtual token ring of ordinary nodes, the polling all the superior nodes in one period, and alert transmissions with a low-power listening and shortened preamble approach during the sleep state. The proposed scheme can simultaneously satisfy the requirements of three types of data in disaster-monitoring applications. Based on embedded Markov chains, a model of the proposed MAC was developed and the mean queue length, mean cycle time, and mean upper bound of the frame delay were obtained. Using simulations under various conditions, the clustering approach performed better than the pLEACH approach, and the theoretical results of the proposed MAC were verified. We found that alerts and superior data have outstanding delay and throughput performances even under heavy traffic intensity, and the proposed MAC can provide a data rate of several hundred kb/s for superior and ordinary data. Considering all three types of data, the frame delay performances of the proposed MAC are better than those of the WirelessHART and DRX schemes, and the alert data of the proposed MAC have a maximum frame delay of 15 ms. These satisfy the application requirements of disaster monitoring.

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Section: Abnormity Handlingmentioning

confidence: 99%

A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks

Chen

Zhang

Pang

et al. 2023

Sensors

Self Cite

View full text Add to dashboard Cite

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“…During the emergency rescue procedure, the aftershocks, mud-rock flow, and landslides will result in further damage, casualties, and property loss. To obtain more accurate seismic data, wireless sensor networks (WSNs) nodes can be deployed to the disaster area for uninterrupted surveillance [1]. In another example, volcano monitoring and studies are critical for crisis response and management, which must satisfy the high data rates and high data fidelity requirements of these studies [2,3].…”

Section: Introductionmentioning

confidence: 99%

An Energy-Efficient Collaborative Ground Vibration Measurement Scheme Based on Compressed Sensing and Belief Propagation

Chen

Feng

Liu

et al. 2014

International Journal of Distributed Sensor Networks

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Wireless sensor networks (WSNs) can provide crucial and real-time information in many crisis response and management scenarios. For example, in volcano monitoring and the rapid reporting of aftershock information, WSNs detect the ground vibration and transmit the information sufficiently fast to help people survive the disaster. However, the processing and transmission of ground vibration data present a heavy burden for the small nodes of WSNs, and a single sensor node cannot provide accurate results for ground vibration detection. In this paper, we present a promising energy-efficient collaborative ground vibration measurement scheme based on efficient compressed sensing method and belief propagation method using the difference in the signal strength to distribute wireless communication load among sensor nodes, improve the detection probability, and extend the lifetime of this system. The performance was studied via theoretical analysis and simulation experiments, and the results indicated that the system could reconstruct the seismic signal even with a low measurement count; other benefits included decreased energy consumption of the sensor nodes and a considerably increased detection probability because of the proposed belief propagation method.

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A real time MAC protocol for mobile ad hoc networks application

Cited by 2 publications

References 10 publications

A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks

A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks

An Energy-Efficient Collaborative Ground Vibration Measurement Scheme Based on Compressed Sensing and Belief Propagation

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