Optimal Data Routing Algorithm for Mine WSNs Based on Maximum Life Cycle

Wu, Bin; Zhou, Xi; Huang, Qinfang

doi:10.1109/access.2020.3009701

Cited by 10 publications

(5 citation statements)

References 24 publications

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“…irdly, cluster members use a certain time unit as a period parameter to transmit data to the cluster head node to achieve the purpose of limiting the energy consumption of sensor nodes. Literature [37] proposed a clustering routing algorithm based on efficient data interaction. e algorithm firstly uses the signal strength of the sensor node to measure the distance information of all its neighboring nodes.…”

Section: Hierarchical Routing Protocolmentioning

confidence: 99%

SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks

Sun

Liao

et al. 2021

Security and Communication Networks

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In order to better improve the reliability of data transmission and extend the network lifetime, the paper proposes the Sensing Clustering Routing Algorithm Based on Collaborative Computing (SCR-CC). The proposed algorithm uses the characteristics of the perceptual radius, which obey the normal distribution, and gives the process of completing the expected value of the data transmission of any two nodes in the cluster. Secondly, the paper analysed the necessary conditions of the existence for the expected value of the number of neighbour nodes when the redundant nodes are closed and the working nodes meet arbitrary differences. Thirdly, the cluster angle formed by the base station and the cluster is used to optimize the clustering structure and complete the dynamic clustering process to achieve the energy balance of the entire network. Finally, the simulation experiments show that the proposed SCR-CC algorithm compared with the other three algorithms reduces the number of failed nodes by 11.37% on average and increases the network lifetime by 27.09% on average; therefore, the efficiency and effectiveness of the SCR-CC algorithm are verified.

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Section: Hierarchical Routing Protocolmentioning

confidence: 99%

SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks

Sun

Liao

et al. 2021

Security and Communication Networks

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“…On the one hand, several routing protocols (e.g., [ 13 , 14 , 15 ]) were proposed to enhance the performance of data transmission in normal coal mine tunnels. Yu et al [ 13 ] proposed a Routing Protocol in mine roadways based on Area Positive Clustering and Mobile Nodes (RPAPC-MN).…”

Section: Related Workmentioning

confidence: 99%

“…By setting different weights in the normalized sub-QoS evaluation function of transmission delay, packet loss rate, and transmission energy consumption and applying the marking method to obtain the transmission path, DE offers a differentiated service and guarantees the QoS for multimedia services. Wu et al [ 15 ] proposed an Optimal Forwarding Algorithm (OFA) for coal mine WSNs. When sensor nodes are evenly deployed in narrow lanes, OFA can dynamically adjust the node’s forwarded data volume and forwarded routing to balance the node energy consumption and maximize the network life cycle.…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, the neighbor node with a smaller transmission distance difference from the void node should be selected as the recovery relay node. Consequently, in the recovery mechanism, Formulas (15) and (19) In Figure 6, if the relay node n j of the sender n i is a void node, no neighbors in the upward path to the sink can forward packets, i.e., the candidate forwarder set C up (j) obtained according to Algorithm 1 is empty. Here, we denote the set of neighbor nodes of the void node n j as N j , and its subset of neighbors N(d j ) in the downward path can be defined as…”

Section: Recovery Mechanismmentioning

confidence: 99%

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Energy-Efficient Opportunistic Routing Algorithm for Post-Disaster Mine Internet of Things Networks

Zhao,

Yang,

Zhang

2023

Sensors

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The Mine Internet of Things (MIoT), as a key technology for reconstructing post-disaster communication networks, enables a user to monitor and control the safety of an affected roadway. However, due to the challenging underground mine environment, the MIoT suffers from severe signal attenuation, vulnerable nodes, and limited energy, which result in a low level of network reliability for the post-disaster MIoT. To improve transmission reliability and reduce energy consumption, a directional-area-forwarding-based energy-efficient opportunistic routing (DEOR) approach for the post-disaster MIoT is proposed. DEOR defines a forwarding zone (FZ) for each node to route packets toward the sink. The candidate forwarding set (CFS) is constructed by the nodes within the FZ that satisfy the energy constraint and the neighboring node degree constraint. The nodes in the CFS are prioritized based on a routing quality evaluation, which takes the local attributes of the nodes, such as the directional angle, transmission distance, and residual energy, into consideration. DEOR adopts a recovery mechanism to address the issue of void nodes. The simulation results verify that the proposed DEOR approach outperforms the ORR, OBRN and ECSOR methods in terms of energy consumption, average hop count, packet delivery rate, and network lifetime.

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“…In [21], the problems related to coal mines in terms of the narrow and complex work environment as well as the obstacles faced by the monitoring system in the sensor networks, and their defects in terms of energy consumption and budget are studied. Furthermore, a mechanism is introduced to spread the sensors evenly in the narrow tunnels inside the mine, in addition to adjusting the volume of data exchanged according to energy consumption and dynamically balancing it between the sensor nodes.…”

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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Optimal Data Routing Algorithm for Mine WSNs Based on Maximum Life Cycle

Cited by 10 publications

References 24 publications

SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks

SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks

Energy-Efficient Opportunistic Routing Algorithm for Post-Disaster Mine Internet of Things Networks

Efficient Energy Mechanism in Heterogeneous WSNs for Underground Mining Monitoring Applications

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