An energy-efficient transmission strategy for wireless sensor networks

Phan, Ca Van; Park, Yong-Suk; Choi, Hyo Hyun; Cho, Jinsung; Kim, Jeong Geun

doi:10.1109/tce.2010.5505976

Cited by 44 publications

(9 citation statements)

References 15 publications

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“…2005 Chen et al [67] focused their attention on the transmission scheduling relying on the opportunistic channel state information for the sake of NL maximization. 2007 Phan et al [68] proposed an energy-efficient transmission scheme based on the prevalent channel conditions in order to maximize the NL.…”

Section: Classificationmentioning

confidence: 99%

“…2014 relying both on the opportunistic channel state information and on the remaining battery charge information for the sake of NL maximization. Phan et al [68] proposed an energy-efficient transmission scheme based on the prevalent channel conditions in order to maximize the NL. More explicitly, transmissions were only activated, when the channel quality was above a predefined threshold, while communicating over fading channels.…”

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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

543

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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Section: Classificationmentioning

confidence: 99%

mentioning

confidence: 99%

A Survey of Network Lifetime Maximization Techniques in Wireless Sensor Networks

Yetgin

Cheung

El‐Hajjar

et al. 2017

IEEE Commun. Surv. Tutorials

543

229

View full text Add to dashboard Cite

show abstract

“…An energy efficient transmission strategy for WSNs that operate in a strict energy-constrained environment is discussed in [15]. The binary-decision based transmission in [15] makes a decision on whether to transmit or not based on the current channel conditions.…”

Section: Related Workmentioning

confidence: 99%

“…The binary-decision based transmission in [15] makes a decision on whether to transmit or not based on the current channel conditions. Another component discussed in [15] is a channel-aware backoff adjustment, which favors sensor nodes with better channel quality, when deciding and prioritizing the transmission.…”

Section: Related Workmentioning

confidence: 99%

A hybrid MAC protocol with channel-dependent optimized scheduling for clustered underwater acoustic sensor networks

Jagannath

Saji

Kulhandjian

et al. 2013

Proceedings of the Eighth ACM International Conference on Underwater Networks and Systems - WUWNet '13

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We propose a novel optimal time slot allocation scheme for clustered underwater acoustic sensor networks that leverages physical (PHY) layer information to minimize the energy consumption due to unnecessary retransmissions thereby improving network lifetime and throughput. To reduce the overhead and the computational complexity, we employ a two-phase approach where: (i) each member node takes a selfish decision on the number of time slots it needs during the next intra-cluster cycle by solving a Markov decision process (MDP), and (ii) the cluster head optimizes the scheduling decision based on the channel quality and an urgency factor. To conserve energy, we use a hybrid medium access scheme, i.e., time division multiple access (TDMA) for the intra-cluster communication phase and carrier sense multiple access with collision avoidance (CSMA/CA) for the cluster head-sink communication phase. The proposed MAC protocol is implemented and tested on a real underwater acoustic testbed using SM-75 acoustic modems by Teledyne Benthos. Simulations illustrate an improvement in network lifetime. Additionally, simulations demonstrate that the proposed scheduling scheme with urgency factor achieves a throughput increase of 28% and improves the reliability by up to 25% as compared to the scheduling scheme that neither use MDP nor optimization. Furthermore, testbed experiments show an improvement in throughput by up to 10% along with an improvement in reliability.

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“…To determine the optimum strategy for data transmissions during a superframe, we formulate a Markov decision process (MDP) [1] to decide whether to transmit data packet or request packet to access GTS or defer transmission. In the literature, [2], [3], [4], and [5] are some of the work which used MDP for optimizing channel access in a wireless network. The channel access policy developed in this paper is for the IEEE 802.15.4-based MAC where each device is able to decide the best task by studying the environment.…”

Section: Introductionmentioning

confidence: 99%

A Markov Decision Process (MDP)-Based Congestion-Aware Medium Access Strategy for IEEE 802.15.4

Shrestha¹,

Hossain²,

Choi³

et al. 2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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IEEE 802.15.4 is a popular technology for shortrange wireless networking due to the features such as low duty cycle operation, low power consumption, and both contentionbased and contention-free transmissions. This standard can be enhanced to provide an optimal medium access mechanism in presence of congestion in the network. We present a Markov decision process (MDP)-based medium access control (MAC) model for IEEE 802.15.4 for the optimal use of contention and contention-free period to minimize energy consumption in repeated transmissions and carrier sensing without degrading latency in packet transmission. The simulation results show that the MDP strategy works more efficiently in presence of congestion when compared to a non-optimal (i.e., traditional) slotted CSMA/CA scheme.

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An energy-efficient transmission strategy for wireless sensor networks

Cited by 44 publications

References 15 publications

A Survey of Network Lifetime Maximization Techniques in Wireless Sensor Networks

A Survey of Network Lifetime Maximization Techniques in Wireless Sensor Networks

A hybrid MAC protocol with channel-dependent optimized scheduling for clustered underwater acoustic sensor networks

A Markov Decision Process (MDP)-Based Congestion-Aware Medium Access Strategy for IEEE 802.15.4

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