Joint Contention and Sleep Control for Lifetime Maximization in Wireless Sensor Networks

Jeon, Jae-Han; Byun, Heejung; Lim, Jong-Tae

doi:10.1109/lcomm.2012.121912.121552

Cited by 17 publications

(12 citation statements)

References 9 publications

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“…Number of citations for the least cited paper Resource allocation using cross-layer design [9], [11], [12], [37], [38], [44], [47], [56]- [63], [63]- [65] 1250 401 12…”

Section: Classificationmentioning

confidence: 99%

“…Jeon et al [63] utilized both the contention probability and the sleep control probability of the sensor nodes for formulating the NL maximization problem. 2013…”

mentioning

confidence: 99%

“…A different approach to NL maximization was introduced in [63], where both the contention probability and the sleep control probability of the sensor nodes was utilized for formulating the NL maximization problem, while maintaining both the throughput and the signal to interference plus noise ratio (SINR) requirements.…”

mentioning

confidence: 99%

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A Survey of Network Lifetime Maximization Techniques in Wireless Sensor Networks

Yetgin

Cheung

El‐Hajjar

et al. 2017

IEEE Commun. Surv. Tutorials

522

229

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Abstract-Emerging technologies, such as the Internet of things, smart applications, smart grids and machine-to-machine networks stimulate the deployment of autonomous, selfconfiguring, large-scale wireless sensor networks (WSNs). Efficient energy utilization is crucially important in order to maintain a fully operational network for the longest period of time possible. Therefore, network lifetime (NL) maximization techniques have attracted a lot of research attention owing to their importance in terms of extending the flawless operation of battery-constrained WSNs. In this paper, we review the recent developments in WSNs, including their applications, design constraints and lifetime estimation models. Commencing with the portrayal of rich variety definitions of NL design objective used for WSNs, the family of NL maximization techniques is introduced and some design guidelines with examples are provided to show the potential improvements of the different design criteria.

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“…Number of citations for the least cited paper Resource allocation using cross-layer design [9], [11], [12], [37], [38], [44], [47], [56]- [63], [63]- [65] 1250 401 12…”

Section: Classificationmentioning

confidence: 99%

“…Jeon et al [63] utilized both the contention probability and the sleep control probability of the sensor nodes for formulating the NL maximization problem. 2013…”

mentioning

confidence: 99%

See 1 more Smart Citation

A Survey of Network Lifetime Maximization Techniques in Wireless Sensor Networks

Yetgin

Cheung

El‐Hajjar

et al. 2017

IEEE Commun. Surv. Tutorials

522

229

View full text Add to dashboard Cite

show abstract

“…Analytical models for IEEE 802.15.4 MAC proposed in the literature [1], [2] & [3] do not accurately capture the state-wise behaviour of a relay node with generic routing strategy for large dense networks. In [1], a twodimensional Markov model for IEEE 802.15.4 MAC with anycast routing is proposed and in [2], a threedimensional Markov model for IEEE 802.15.4 multihop scenario with reduced sensing and non-homogenous traffic is analyzed.…”

Section: Introductionmentioning

confidence: 99%

“…In [1], a twodimensional Markov model for IEEE 802.15.4 MAC with anycast routing is proposed and in [2], a threedimensional Markov model for IEEE 802.15.4 multihop scenario with reduced sensing and non-homogenous traffic is analyzed. The analytical study proposed in [3] incorporates joint sleep and contention control guaranteeing throughput and SINR requirements for extending network life time. The effect of adaptive MAC parameters on single hop and multi-hop wireless sensor networks are well studied using three-dimensional Markov models in [4] and [5] respectively.…”

Section: Introductionmentioning

confidence: 99%