One energy-efficient random-walk topology evolution method for underground wireless sensor networks

Huang, Yourui; Chen, Zhenping; Han, Tao; Liu, Xiaotao

doi:10.1177/1550147718800627

Cited by 6 publications

(2 citation statements)

References 20 publications

(25 reference statements)

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“…The data are next transmitted to the aboveground node (gateway) through UG2AG communications. This approach is more complex to develop as it requires the integration of routing protocols and different strategies (e.g., the role of a relay node can be given to another one to distribute the energy costs), [35,43,44]. This topology is also confronted by the difficulty to obtain reliable UG2UG communications and by the risk that the failure of one node can make all the network inoperative [45,77].…”

Section: Determination Of the Network Topology And Node Placementmentioning

confidence: 99%

Internet of Underground Things in Agriculture 4.0: Challenges, Applications and Perspectives

Cariou

Moiroux-Arvis

Pinet

et al. 2023

Sensors

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Internet of underground things (IoUTs) and wireless underground sensor networks (WUSNs) are new technologies particularly relevant in agriculture to measure and transmit environmental data, enabling us to optimize both crop growth and water resource management. The sensor nodes can be buried anywhere, including in the passage of vehicles, without interfering with aboveground farming activities. However, to obtain fully operational systems, several scientific and technological challenges remain to be addressed. The objective of this paper is to identify these challenges and provide an overview of the latest advances in IoUTs and WUSNs. The challenges related to the development of buried sensor nodes are first presented. The recent approaches proposed in the literature to autonomously and optimally collect the data of several buried sensor nodes, ranging from the use of ground relays, mobile robots and unmanned aerial vehicles, are next described. Finally, potential agricultural applications and future research directions are identified and discussed.

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Section: Determination Of the Network Topology And Node Placementmentioning

confidence: 99%

Internet of Underground Things in Agriculture 4.0: Challenges, Applications and Perspectives

Cariou

Moiroux-Arvis

Pinet

et al. 2023

Sensors

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“…In [14], an energy-efficient free topology model based on a random walk strategy is developed. The authors classify the network into several clusters and use a random walk strategy to select the cluster heads.…”

Section: Related Work and Motivationmentioning

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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Reinforcement learning–enabled efficient data gathering in underground wireless sensor networks

Deng

Zhou

Wang

et al. 2020

Pers Ubiquit Comput

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One energy-efficient random-walk topology evolution method for underground wireless sensor networks

Cited by 6 publications

References 20 publications

Internet of Underground Things in Agriculture 4.0: Challenges, Applications and Perspectives

Internet of Underground Things in Agriculture 4.0: Challenges, Applications and Perspectives

Efficient Energy Mechanism in Heterogeneous WSNs for Underground Mining Monitoring Applications

Reinforcement learning–enabled efficient data gathering in underground wireless sensor networks

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