Dynamic Sleep Control Using Location Based Clustering Scheme in Mobile Sensor Networks

Shiokawa, Shigeki; Chen, Daqi

doi:10.1007/s11277-015-3164-x

Cited by 2 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If the sensor nodes cannot be awakened in time, it may cause failures in transmitting the data. In [11], a notable scheme on the dynamic dormancy of sensor nodes is proposed, where the sleep interval is varied in real time based on the estimated dwell time of the sensor nodes. The drawback is that the frequent scheduling of sensor nodes' status will introduce large communication overhead in the WirelessHART networks.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Freeshape Clustering for Balanced Energy Saving in the WirelessHART Networks

et al. 2019

View full text Add to dashboard Cite

The frequent data convergecasting from the sensor nodes to the gateways may cause imbalanced energy consumption in the Wireless Highway Addressable Remote Transducer (WirelessHART) networks, yielding a short network lifetime and frequent failures in the data acquisition. Existing solutions always tend to tradeoff between the hardware cost, routing complexity, and energy consumption, making the sensor nodes suffer from expensive hardware investment, overloaded network computation, or imbalanced energy consumption. In this paper, an Adaptive Freeshape Clustering (AFC) protocol is developed for saving and balancing the energy consumption in the WirelessHART networks. In AFC, the Region of Interest (RoI) is first divided into several fan-shaped clusters. The sensor nodes in each fan-shaped cluster compete for the positions of Cell Node (CN), and the nodes that have succeeded in the competition adjust the radius of their coverages to cover the fan-shaped clusters adaptively with the minimum overlapped areas. In this way, each fan-shaped cluster can be subdivided into several freeshape zones regarding each CN's coverage, and the CN in each cluster takes charge of convergecasting the data to the CH. The simulations show that AFC can prolong the network lifetime by 37% compared with other related schemes, e.g., HEED, FLOODING, and DIRECT, whereas it can reduce the degree of energy imbalance by 1.29%.

show abstract

Section: Related Workmentioning

confidence: 99%

Adaptive Freeshape Clustering for Balanced Energy Saving in the WirelessHART Networks

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Many existing works have studied duty cycle control mechanism. Van Dam and Langendoen 4 and Yang et al 5 adjust active time to control duty cycle, and other works [6][7][8][9][10] change sleep time to do so. However, few works use fixed and preconfigured duty cycle according to requirement of latency or energy, 11 and most existing works have designed dynamic duty cycle method based on network conditions or application requirements, such as traffic load change, network congestion, or quality-of-service (QoS) requirement.…”

Section: Introductionmentioning

confidence: 99%

Optimal sleep time controller based on traffic prediction and residual energy in duty-cycled wireless sensor networks

Luo

Ruan

et al. 2017

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

In duty-cycled wireless sensor networks, energy efficiency and packet latency are two most important metrics in the design of medium access control and routing algorithms. However, these two problems cannot be addressed well at the same time. In this article, we investigate the trade-off between energy consumption and latency and formulate them into a multi-objective optimization problem. By applying the single exponential smoothing method, we estimate the amount of data of next period and design two optimal sleep time controllers according to time scheduling model of network, so as to dynamically adjust the duty cycle of end node. Our controllers also consider the residual energy of end node. Finally, we propose two dynamic and adaptive medium access control algorithms for synchronous and asynchronous duty-cycled wireless sensor networks, respectively. We evaluate our protocols with different parameters and compare them with existing works. Performance results show that our proposed algorithms can balance power consumption among nodes and improve power efficiency while guaranteeing packet latency is minimized.

show abstract

Dynamic Sleep Control Using Location Based Clustering Scheme in Mobile Sensor Networks

Cited by 2 publications

References 12 publications

Adaptive Freeshape Clustering for Balanced Energy Saving in the WirelessHART Networks

Adaptive Freeshape Clustering for Balanced Energy Saving in the WirelessHART Networks

Optimal sleep time controller based on traffic prediction and residual energy in duty-cycled wireless sensor networks

Contact Info

Product

Resources

About