An Energy-Efficient TDMA Protocol for Clustered Wireless Sensor Networks

Xie, Mao-tao; Wang, Xiaoli

doi:10.1109/cccm.2008.97

Cited by 17 publications

(9 citation statements)

References 7 publications

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“…Authors of [10] and [11] tried to improve the bandwidth efficiency of BMA by avoiding idle period from the frames. Fan et al [12] employed famous token ring methodology in the MAC layer protocol for WSN.…”

Section: Related Workmentioning

confidence: 99%

“…Researchers who proposed MAC protocols for event-driven applications tried to improve energy consumption and bandwidth utilization of BMA [9], [10], [11] [12]. Shafiullah et al [9] removed the contention window of BMA and had the cluster-head node listen to the channel at the beginning of every slot and go in sleep mode if no activity is found.…”

Section: Related Workmentioning

confidence: 99%

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An Efficient TDMA Scheme with Dynamic Slot Assignment in Clustered Wireless Sensor Networks

Hashmi

Sarker

Mouftah

et al. 2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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In this paper, we present an efficient MAC layer scheme using Dynamic Slot Assignment (DSA) in TDMA-based MAC protocols for cluster-based wireless sensor networks. The DSA scheme is presented to analyze the energy efficiency and channel utilization in a bursty traffic environment under low traffic conditions with a large number of sensor nodes in a single cluster. The DSA scheme will allow the network to adapt to the changing traffic load. Based on the network activity, the connection is established between the cluster-head node and those sensor nodes which have data to send, and a TDMA slot is assigned to each of them dynamically. We present the complete system model and model the data traffic by a correlated stochastic process (i.e. Markov chain) for a network where the second and subsequent connection arrival rate is dependent on the first arrival rate. We numerically compare our DSA with a traditionally proposed static TDMA model, the BMA model, and a variant of the BMA model (EA-TDMA), and prove substantial improvement in the energy consumption and channel utilization in low activity sensor networks. Results show that the efficiency of the MAC protocol can be increased significantly using the presented model.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

An Efficient TDMA Scheme with Dynamic Slot Assignment in Clustered Wireless Sensor Networks

Hashmi

Sarker

Mouftah

et al. 2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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show abstract

Section: Introductionmentioning

confidence: 99%

“…However, the disadvantage of this method is that strict synchronization is required between the central sensor node and the sensor node, and resources may be wasted due to the possibility of empty slots for transmission in a network with low transmission. Representative protocols belonging to this include BMA (The Bit-Map-Assisted)[10] and EC-TDMA (An Energy-Efficient TDM A)[11].Third, a hybrid method is made by combining the advantages of the above two methods. A characteristic of this method is that energy can be effectively used by responding differently to the transmission method according to transmission traffic.The SVM (support vector machine) algorithm is one of the most used models in artificial intelligence machine learning.…”

mentioning

confidence: 99%

Data Fairness Transmission and Adaptive Duty Cycle through Machine Learning in wireless Sensor Networks

Jeon

Park

2022

JOIV : Int. J. Inform. Visualization

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In this paper, we propose the data fairness transmission and adaptive duty cycle through machine learning in wireless sensor networks. The mechanism of this paper is mainly composed of two parts. The proposed mechanism is based on the sleep-wake structure, which is one of the methods to increase the lifespan of the entire network by efficiently using the energy of the nodes. The first is a mechanism to support priority and data fairness. To this end, data input to the node is divided into priority classes according to transmission urgency and stored. Introduces the concept of cross-layer to rearrange data destined for the same destination. In addition, we propose a fair data transmission mechanism that allows even low-priority data to participate in transmission after a certain period. The second is an adaptive duty cycle mechanism through machine learning. For this purpose, public data related to forest fires are collected. The collected data is refined into data for each forest fire location and data for each forest fire time. For the refined data, an SVM (Support Vector Machine) model of supervised learning is used for machine learning, and a mechanism for adaptively adjusting the duty cycle of each node through the trained model is proposed. The computer language used for machine learning is Python language, and Google's Psychic Learn is used for the machine learning library. It was compared with the existing MAC protocol for evaluation, and it was confirmed that excellent energy efficiency results were obtained.

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“…Energy efficeinet clustering techniques for intrusion detection in Wireless sensor network is discussed in [15]. Xie and Wang [8] proposed energy-efficient protocol for intra-cluster communication by the use of TDMA algorithm but inter-cluster communication interference is missing. Wang et al [9] discussed about two types of collision in inter-cluster communication one is primary interference and other is secondary interference.…”

Section: Introductionmentioning

confidence: 99%

Sleep Scheduling Mechanism in Inter-Cluster Communication for WSN

Rajesh¹,

Reddy²

2017

IJCT

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Wireless Sensor Network is easy to configure and deployment of network is also simple. It is very useful in gathering the information. As sensor device are small in size and it is operated by the battery which once die is not rechargeable, so minimizing energy consumption and node death rate is challenging issues in WSN. Once node die it can't take part in information gathering which is not good for the overall system performance. Making cluster is a way to reduce the energy consumption in WSN by making cluster head which only communicate with base station and rest of the node communicate with cluster head, because distance is major factor for energy consumption in transmission of data. Wireless Sensor Network need more improvement and hence proposed intra and inter-cluster communication with sleep/active rate of node in WSN. Author establish a tradeoff between active node and energy consumption because if more node in sleep state then for achieving the target packet failure probability or error free communication all node take more energy take part in Sub-cluster head communication or more hop-distance communication with more energy. Result in terms of network life time, energy consumption, node decay rate and communication overhead shows that presented work performed well when compare with existing technique.

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An Energy-Efficient TDMA Protocol for Clustered Wireless Sensor Networks

Cited by 17 publications

References 7 publications

An Efficient TDMA Scheme with Dynamic Slot Assignment in Clustered Wireless Sensor Networks

An Efficient TDMA Scheme with Dynamic Slot Assignment in Clustered Wireless Sensor Networks

Data Fairness Transmission and Adaptive Duty Cycle through Machine Learning in wireless Sensor Networks

Sleep Scheduling Mechanism in Inter-Cluster Communication for WSN

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