A dynamic TDMA-based sleep scheduling to minimize WSN energy consumption

Biazi, Adelcio; Marcon, César; Shubeita, Fauzi; Poehls, Leticia Bolzani; Webber, Thais; Vargas, F.

doi:10.1109/icnsc.2016.7478994

Cited by 12 publications

(4 citation statements)

References 7 publications

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“…According to the number of member nodes in the cluster, the primary cluster-head divides the time slots and uses the TDMA (Time Division Multiple Access) mechanism to assign the corresponding time slots to each member node in the cluster [37]. Each node collects and sends data to the primary cluster-head according to the allocated time slots.…”

Section: Stable Operation Phasementioning

confidence: 99%

A Dual Cluster-Head Energy-Efficient Routing Algorithm Based on Canopy Optimization and K-Means for WSN

Min

et al. 2022

Sensors

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Wireless sensor networks (WSN) are widely used in various applications, such as environmental monitoring, healthcare, event detection, agriculture, disaster management, and so on. Due to their small size, sensors are limited power sources and are often deployed in special environments where frequent battery replacement is not feasible. Therefore, it is important to reduce the energy consumption of sensors and extend the network lifetime. An effective way to achieve this is clustering. This paper proposes a dual cluster-head energy-efficient algorithm (DCK-LEACH), which is based on K-means and Canopy optimization. Considering that the K-means algorithm is sensitive to the location of the initial clustering centers, this paper uses both the dynamic Canopy algorithm and K-means algorithm for clustering. For cluster-head election, this algorithm uses a hierarchy to minimize the cluster-head burden and balance the network load. The primary cluster-head is selected by two objectives: the node’s residual energy and the distance from the node to the clustering center. The vice cluster-head is selected by the residual energy of the node, and the distance from the nodes to the base station. Simulator results show that DCK-LEACH significantly prolongs the energy-critical node lifetime and the network lifetime compared with existing protocols.

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Section: Stable Operation Phasementioning

confidence: 99%

A Dual Cluster-Head Energy-Efficient Routing Algorithm Based on Canopy Optimization and K-Means for WSN

Min

et al. 2022

Sensors

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“…This protocol has a longer lifetime. Biazi et al [26] proposed a new technology based on TDMA, which focuses on minimizing the energy consumption, dynamically adjusting the monitoring time slots of sensors according to environmental changes, reducing the energy consumption and maximizing the transmission life. Ahmad et al [27] proposed a distributed realtime TDMA scheduling algorithm for tree-topology wireless sensor networks.…”

Section: Related Workmentioning

confidence: 99%

A Multi-Channel Transmission Scheme in Green Internet of Things for Underground Mining Safety Warning

et al. 2020

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Internet of Things (IoT) is a key enabler for many industrial applications. Through the IoT, the safety risk analysis and early warning management of the underground mining can effectively reduce the frequency of accidents and failures, to save the loss of personnel and property. Therefore, the safety warning of underground mining based on IoT is of great significance. However, underground industrial IoT requires the deployment of a large number of energy-constrained sensors and sensing units, and the wireless signals they send are lost due to data collisions, consuming node energy and reducing energy efficiency. Therefore, real-time reliable transmission of sensing data under energy-constrained conditions is critical for construction safety warnings in harsh industrial monitoring environments. Existing transmission schemes such as Wireless Hart, WiFi, etc., due to high energy consumption, cannot be directly applied to underground mining monitoring environments with energy-efficient requirements. Moreover, the competition-based ZigBee transmission protocol with low power consumption cannot guarantee the realtime reliable transmission of packets. Aiming at the real-time and reliability problems of data transmission under energy-limited conditions, a multi-radio multi-channel deterministic transmission scheme based on time slot division is proposed in this paper. Firstly, for the tree hybrid topology of monitoring networks, a joint multi-channel multi-slots scheduling problem is formulated, which is proved NP-Hard. Then, based on the greedy strategy, a lightweight pseudopolynomial time transmission scheduling scheme is proposed. It is also proved that under the premise that this problem can be scheduled, the heuristic algorithm can obtain the optimal result under the tree hybrid topology. Finally, a lot of practical experiments were conducted to verify the performance of the transmission scheme. The experimental results illustrate that compared with the traditional transmission scheme, the proposal has lower packet loss rate and transmission delay, which effectively reduces the energy consumption of the sensing devices.INDEX TERMS Internet of Things, underground mining, multi-channel, time slot scheduling.

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“…The algorithm adopts a double-stage capacitor structure to ensure node synchronization in situations without energy harvesting and uses an integrator to get ultra-low power measurement. Adjusting the sensor timeslot according to the environment changing to minimize the energy consumption in the TDMA channel accessing method has been proposed by [16]. In this work, all the sensor nodes used a fixed timetable slot for transmitting the data.…”

Section: Energy Efficiency In Wsn Nodesmentioning

confidence: 99%

Resourceful Residual Energy Consumption in TDMA Scheduling for IoT-based Wireless Sensor Network

Rahiman¹,

Islam²,

Derahman³

2019

Adv. sci. technol. eng. syst. j.

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Recently, wireless sensor network (WSN) gets more concern due to the robustness in the latest communication technology iteration such as big data, IoT and 5G. Such daily usage of these technologies includes smart home, smart farming, smart traffic control etc. Moreover, WSN becomes the best preference for mobile objects in data accumulating in a wild range area. Routing distance, signal interference and routing computational cost give a significant impact to the WSN nodes lifetime. Unsynchronized node time allocation slot and neighbor discovery are the main factors in the energy consumption issue faced by the WSN. Higher energy consumption reduces the network lifetime and WSN nodes performance. This paper discusses the optimization of energy-topology (E-T) factors for distributed time division multiplexing algorithm (TDMA) slot scheduling for high-speed data link capacity. The E-T factor is based on the influence of residual energy and topology on the time slot allocation. Both node residual energy and topology information have shown a respectable impact on the TDMA node slot allocation. Moreover, the numbers of neighbors and the network residual energy have been proved both nodes execution time and energy utilization can be reduced in the algorithm. The algorithm performance has been evaluated based on the previous experiment parameters with new high-speed data link. The experimental results have shown a significant improvement in residual energy consumption for the proposed optimized TDMA slot allocation

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A dynamic TDMA-based sleep scheduling to minimize WSN energy consumption

Cited by 12 publications

References 7 publications

A Dual Cluster-Head Energy-Efficient Routing Algorithm Based on Canopy Optimization and K-Means for WSN

A Dual Cluster-Head Energy-Efficient Routing Algorithm Based on Canopy Optimization and K-Means for WSN

A Multi-Channel Transmission Scheme in Green Internet of Things for Underground Mining Safety Warning

Resourceful Residual Energy Consumption in TDMA Scheduling for IoT-based Wireless Sensor Network

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