An Adaptive Polling Periods MAC Protocol for Wireless Sensor Networks

Chen, Defu; Tao, Zhengsu; Zhu, Jianping

doi:10.3724/sp.j.1146.2010.01106

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…In the equation of (1), (2) and (3), thr Q : Redundancy threshold; i q : probability of sending data; i c : the cost parameter , a function on the node residual energy.…”

Section: Selection Process Of Communication Nodesmentioning

confidence: 99%

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Cross-layer energy efficiency design in wireless sensor networks

Tang

Wang

2012

Proceedings of the 10th World Congress on Intelligent Control and Automation

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Based on the analysis of the reliability and energyconsumption in WSNs, In this paper, we propose a cross layerbased MAC protocol abbreviated as CoDyMAC(Cross-layer and Dynamic balance energy-consumption MAC). CoDyMAC realizes multi-hop data transmission in a listen / sleep cycle by utilizing the interactions among MAC, Routing and Physical layers, and meanwhile introduces the selection mechanism of communication node and take the redundancy under control after weighing the energy-consumption and the reliability of data transmission. Thus it dynamically balances the energy consumption and prolongs the network life. Through the performance analysis and the simulation study, CoDyMAC shows its advantages such as shorter latency, lower energyconsumption, and high reliability to SMAC, ASMAC and ELMAC.

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“…In the equation of (1), (2) and (3), thr Q : Redundancy threshold; i q : probability of sending data; i c : the cost parameter , a function on the node residual energy.…”

Section: Selection Process Of Communication Nodesmentioning

confidence: 99%

“…So energy efficiency design is one of important goals [1].How to save the energy consumption of the nodes to prolong the lifetime of the networks and meanwhile how to improve latency [2] and reliability according to the requirements of the application should be taken into consideration and be designed in accordance with the objectives.…”

Section: Introductionmentioning

confidence: 99%

Cross-layer energy efficiency design in wireless sensor networks

Tang

Wang

2012

Proceedings of the 10th World Congress on Intelligent Control and Automation

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UWB antenna size reduction methods using fractal, matrix, and serrated structures

Bounif

Desmarais

Nabki

et al. 2014

Micro & Optical Tech Letters

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Four ultrawideband monopole antennas exploiting periodicity to reduce their size are presented. Experimental results are also discussed for these antennas. The first antenna uses a fractal topology based on a hexagonal pattern. It achieves a bandwidth of 8.85 GHz from 3.65 to 12.5 GHz with a 14 × 16.52 mm2 footprint. The second antenna uses an electric‐magnetic‐electric matrix and provides a 7 GHz bandwidth from 3.5 to 10.5 GHz with a 14 × 15.9 mm2 footprint. Two antennas based on a serrated structure which reduces the surface up to 15% are also presented with dimensions of 15 × 16.3 mm2: the first one covers a bandwidth of 3.5 to 11.73 GHz, whereas the second adds a notch between 5.15 to 5.825 GHz to reject the wireless LAN band. All these antennas can be incorporated into very small communication modules while maintaining excellent performances with a return loss below −10 dB and with a good multidirectional radiation pattern. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:2038–2044, 2014

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An Adaptive Polling Periods MAC Protocol for Wireless Sensor Networks

Cited by 2 publications

References 4 publications

Cross-layer energy efficiency design in wireless sensor networks

Cross-layer energy efficiency design in wireless sensor networks

UWB antenna size reduction methods using fractal, matrix, and serrated structures

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