Reinforcement learning based routing for energy sensitive wireless mesh IoT networks

Liu, Y.; Tong, Kin‐Fai; Wong, Kai‐Kit

doi:10.1049/el.2019.1864

Cited by 13 publications

(10 citation statements)

References 4 publications

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“…However, it is not su cient for WMN due to a stable backbone system. The reinforcement learning technique is used for energy-sensitive mesh networks [12]. The reinforcement learning technique populates and updates the routing table constantly to nd a better route.…”

Section: Multi-path Routing Protocolsmentioning

confidence: 99%

Neighbor Coverage and Bandwidth Aware Multiple Disjoint Path Discovery in Wireless Mesh Networks

Anita¹,

Sasikumar²

2022

Wireless Pers Commun

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With the ease of appending new nodes without re-installing the whole network, the Internet of Things (IoT) builds several smart applications on Wireless Mesh Network (WMN). One of the important aspects of integrating WMN and smart IoT applications is to provide an energy-e cient and reliable routing protocol. Seeking the communication route that delivers the high-quality stream quickly over WMN is an important issue, but the maximum utilization of a single high-quality path leads to poor throughput and large communication delay, including route discovery and data forwarding delay. The broadcasting mechanism creates redundant transmissions of control packets into the network and reinitializes the blind route discovery process due to link disconnections leading to network resource constraints and high delay during the route discovery process. Moreover, the congestion in the communication route incurs data transmission latency. This paper proposes the Multiple Disjoint Path Determination (MDPD) mechanism based on-demand routing in WMN to formulate the path discovery and data transmission latency. Reducing the neighbor list into the uncommon neighbor set reduces the unnecessary latency in route discovery, and deriving high capacity multiple disjoint communication routes reduce the communication delay in the proposed work. The proposed work employs the queue dynamics in queuing delay, which mainly provides adaptability to the dynamics in network capacity and e cient diversity paths to the gateway node to infer the available bandwidth and optimize the network tra c. To fully utilize the advantage of heterogeneous routers, it disables the ooding of control packets across the stable mesh routers, excluding the initial route discovery process, because it enables the available route storage system in each mesh router. Hence, the proposed work e ciently supports wireless broadband internet access with reduced delay and control overhead. The simulation results demonstrate the fast detection of the multiple disjoint routes and data tra c optimization over the discovered disjoint routes in the proposed MDPD mechanism over WMN.

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Section: Multi-path Routing Protocolsmentioning

confidence: 99%

Neighbor Coverage and Bandwidth Aware Multiple Disjoint Path Discovery in Wireless Mesh Networks

Anita¹,

Sasikumar²

2022

Wireless Pers Commun

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“…In order to verify the performance of this method, protocols such as MREBR (Maximum Residual Energy Based Routing), MEC and SOR were selected to compare with the UCEEC protocol. According to the simulation settings of these comparison protocols [3,4,[10][11][12][13]25] , the network setting is listed in Table 2.…”

Section: Simulation Data and Network Settingmentioning

confidence: 99%

“…In addition, signal strength, quality of service parameters, network power efficiency are also considered in agricultural WSN data transmission routing. The related research shows that the communication qualities of nodes in different crop growing areas are different due to the different planting and growing density [23][24][25] . By analyzing the strengths of the signals of sensor nodes, nodes are clustered according to the idea of image segmentation, and nodes that in the same connected area and ventilation are classified as a cluster.…”

Section: Introduction mentioning

confidence: 99%

Non-uniform clustering routing protocol of wheat farmland based on effective energy consumption

Miao¹,

Zhao²,

Wu³

2021

International Journal of Agricultural and Biological Engineering

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Wireless sensor network (WSN) can achieve real-time data collection and transmission of environment, soil, meteorology, crop physiology and other information in agriculture. The data provided by WSN could be used for decision making and management, which is very important in precision agriculture. Wheat farmland wireless sensor network has the characteristics of wide coverage area, long planting period, inconvenient energy supply, and serious impact of crop environment on wireless signal transmission. Routing protocol is an important method to achieve long-term WSN monitoring by selecting an appropriate path with low energy consumption for data transmission. According to the phenomenon of uneven environment and channel parameters caused by intensive crop growth in farmland, a non-uniform clustering routing protocol based on effective energy consumption (UCEEC) was proposed in this work. The method combined with the characteristics of multi-path fading of farmland environment signals. The idea of image segmentation was introduced. Nodes with high similarity were divided into a cluster area by the dissimilarity between nodes in order to improve the intracluster communication performance. Meanwhile, a multi-hop path selection method between cluster-heads based on the estimation of two-hop effective energy consumption is designed. The energy consumption cost factor is calculated by the effective energy consumption and the average energy consumption within the cluster to achieve the minimum and balance of the overall energy consumption of the network. Simulation results show that, compared with the existing Maximum Residual Energy Based Routing (MREBR) protocol, minimum Energy Consumption Based Routing (MEC) routing protocols, UCEEC improves the energy balance effect between nodes, prolongs the network life cycle, and realizes efficient energy utilization of wireless sensor network data collection in the complex environment of wheat field.

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“…The solution is offered in the form of an analytical model where the k-connected network model is implemented. The work carried out by Liu et al [20] has addressed the problem of energy-based routing when wireless mesh network is used with the Internet-of-Things. The presented solution is based on a unique mesh topology where the energy efficiency is carried out using a distributed manner.…”

Section: Related Workmentioning

confidence: 99%

Optimized Framework for QoS Efficient Routing Scheme in Wireless Mesh Network

T.H*,

2020

IJITEE

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Adoption of Wireless Mesh Network offers cost effective data transmission system; however, there is always a problems associated with larger scale of deployment where resource consumption is inevitable and beyond control. After reviewing the existing approaches toward improving the routing operation in Wireless Mesh Network, it has been seen that there are still a larger scope in improvement. Therefore, the proposed study introduces an optimized framework for quality of service that jointly works towards resolving hidden terminal problem as well as performs enhance data delivery in presence of challenging traffic scenario. The proposed system uses analytical modeling approach for channel occupancy is formulated and it performs computation of channel capacity. Further, an improved scheduling approach has been formulated in order to ensure superior saving of energy by considering various novel ranges of empirical parameters. Simulated in MATLAB, the proposed system highlights that it offers reduced delay, increased throughput, and highly controlled energy efficiency when compared with the existing routing protocols claims of traffic management in wireless mesh network.

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Reinforcement learning based routing for energy sensitive wireless mesh IoT networks

Cited by 13 publications

References 4 publications

Neighbor Coverage and Bandwidth Aware Multiple Disjoint Path Discovery in Wireless Mesh Networks

Neighbor Coverage and Bandwidth Aware Multiple Disjoint Path Discovery in Wireless Mesh Networks

Non-uniform clustering routing protocol of wheat farmland based on effective energy consumption

Optimized Framework for QoS Efficient Routing Scheme in Wireless Mesh Network

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