Different Energy Saving Schemes in Wireless Sensor Networks: A Survey

Chowdhury, Sultan Mahmood; Hossain, Ashraf

doi:10.1007/s11277-020-07461-5

Cited by 60 publications

(20 citation statements)

References 117 publications

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“…At the protocol level, the duty cycling scheme is integrated as a separate functional module of the MAC or a separate independent upper-layer protocol or a cross-layer protocol operating on top of the MAC protocol. The duty cycling based MAC protocol can be synchronous or asynchronous [114], [115]. In a synchronous protocol, each node in the network is aware of its neighbors' active/sleep schedule.…”

Section: ) Duty Cycling Schemesmentioning

confidence: 99%

QoS-Aware Energy Management and Node Scheduling Schemes for Sensor Network-Based Surveillance Applications

et al. 2021

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Section: ) Duty Cycling Schemesmentioning

confidence: 99%

QoS-Aware Energy Management and Node Scheduling Schemes for Sensor Network-Based Surveillance Applications

et al. 2021

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“…This year two surveys have been published. In [ 4 ] energy-saving schemes such as duty-cycling, efficient routing, efficient MAC, data aggregation, cross-layer design and error control code are addressed. This survey includes works until 2019 and it is noticeable that the most active year was 2017.…”

Section: Energy Conservationmentioning

confidence: 99%

“…Energy saving usually implies minimizing the cost of communication at the nodes since it is known that the radio is the biggest consumer of the available energy [ 3 ]. Different energy-saving schemes were recently surveyed in [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Current Trends on Green Wireless Sensor Networks

López-Ardao

Rodríguez-Rubio

Suárez-González

et al. 2021

Sensors

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The issue of energy balancing in Wireless Sensor Networks is a pivotal one, crucial in their deployment. This problem can be subdivided in three areas: (i) energy conservation techniques, usually implying minimizing the cost of communication at the nodes since it is known that the radio is the biggest consumer of the available energy; (ii) energy-harvesting techniques, converting energy from not full-time available environmental sources and usually storing it; and (iii) energy transfer techniques, sharing energy resources from one node (either specialized or not) to another one. In this article, we survey the main contributions in these three areas and identify the main trending topics in recent research. A discussion and some future directions are also included.

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“…Different protocols have been designed to overcome energy efficiency issues in homogenous WSNs. However, underground mine WSNs are considered be heterogeneous because such WSNs can deploy different types of sensors with different energy characteristics [1]. In critical applications, WSNs are very useful for monitoring and control.…”

Section: Introductionmentioning

confidence: 99%

Efficient Energy Mechanism in Heterogeneous WSNs for Underground Mining Monitoring Applications

et al. 2022

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Wireless Sensor Networks (WSNs) play an important role in underground mining applications. In particular, they help to collect information using sensors and provide monitoring of complex mine environments to avoid potential risks and manage operations. Despite the importance of WSNs, they face the problem of energy consumption and the difficulty of replacing the batteries of the sensor nodes. The distributed energy efficient aggregation protocol (DEECP) helps to reduce the power consumption of the WSN. This protocol enables an increase in the lifetime of a WSN. The DEECP algorithm uses the clustering concept and selects cluster heads (CHs) according to the election probability based on the ratio between the residual energy and network average energy of each node. However, this method does not provide an optimum solution because it does not take into account the different sensor energy levels. In addition, the algorithm does not consider the effect of the distance between the base station and sensor node likely be chosen to become a CH. This can significantly affect the performance of the WSN. This paper proposes an optimization threshold for CH selection based on three energy levels of a sensor, namely, low, high, and super as well as the measurement of the distances between base stations and possible nodes be selected as CHs to optimize the CH selection method. The proposed approach is evaluated and compared with DEECP in terms of dead nodes, alive nodes, and network throughput. The results show that the proposed approach outperforms DEECPs in terms of network stability and lifetime.

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Different Energy Saving Schemes in Wireless Sensor Networks: A Survey

Cited by 60 publications

References 117 publications

QoS-Aware Energy Management and Node Scheduling Schemes for Sensor Network-Based Surveillance Applications

QoS-Aware Energy Management and Node Scheduling Schemes for Sensor Network-Based Surveillance Applications

Current Trends on Green Wireless Sensor Networks

Efficient Energy Mechanism in Heterogeneous WSNs for Underground Mining Monitoring Applications

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