Distributed Adaptive Channel Allocation in Multi-Radio Wireless Sensor Networks

Peng, Wei; Chen, Dongyan; Sun, Wenhui; Zhang, Guiqing

doi:10.12720/jcm.11.11.984-991

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…Widely used time synchronization mechanism are Global Positioning System (GPS) [5] [6] [7] and Network Time Protocol (NTP) [8] [9], but the main purpose of the two mechanisms is how to get highprecision time synchronization, and the algorithm complicated and expensive. Due to the characteristics of WSNs itself which is required to reduce the synchronization algorithm complexity under certain synchronization accuracy, and to minimize the node energy consumption.…”

Section: The Time Synchronization Protocol Of Wsnsmentioning

confidence: 99%

The Research on Time Synchronization Protocol of Lightweight for Wireless Sensor Network

2018

Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering

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Time synchronization technology is a challenging area of research in wireless sensor network. The diversity of wireless sensor network leads to the diversity of demands on the time synchronization mechanism; therefore, it is impossible to use one kind of time synchronization mechanism to satisfy all application requirements. Due to its own characteristics, wireless sensor network needs special requirements in synchronization precision, synchronization scope, and energy consumption etc. This paper presents a lightweight and active time synchronization protocol for wireless sensor network, being called LATS for short. It ensures that the synchronization accuracy in practical applications meets the circumstances while reducing the energy costs as far as possible. Finally, the performance of this protocol is proved by experiment.

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Section: The Time Synchronization Protocol Of Wsnsmentioning

confidence: 99%

The Research on Time Synchronization Protocol of Lightweight for Wireless Sensor Network

2018

Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering

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“…The ability to use different radio technologies, including IEEE 802.11 (a/b/g/n) and 802. 16, makes WMN flexible enough to support many manufacturing standards [3]. Moreover, the ability to work with other technologies such as ad-hoc wireless networks makes it easy to integrate WMNs with existing infrastructure and provide nodes with the ability to share and exchange data over the Internet.…”

Section: Introductionmentioning

confidence: 99%

Fairness‐Oriented Semichaotic Genetic Algorithm‐Based Channel Assignment Technique for Node Starvation Problem in Wireless Mesh Networks

Ghaleb

Al‐rimy

Boulila

et al. 2021

Computational Intelligence and Neuroscience

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Wireless mesh networks (WMNs) have emerged as a scalable, reliable, and agile wireless network that supports many types of innovative technologies such as the Internet of Things (IoT), Wireless Sensor Networks (WSN), and Internet of Vehicles (IoV). Due to the limited number of orthogonal channels, interference between channels adversely affects the fair distribution of bandwidth among mesh clients, causing node starvation in terms of insufficient bandwidth distribution, which impedes the adoption of WMN as an efficient access technology. Therefore, a fair channel assignment is crucial for the mesh clients to utilize the available resources. However, the node starvation problem due to unfair channel distribution has been vastly overlooked during channel assignment by the extant research. Instead, existing channel assignment algorithms equally distribute the interference reduction on the links to achieve fairness which neither guarantees a fair distribution of the network bandwidth nor eliminates node starvation. In addition, the metaheuristic-based solutions such as genetic algorithm, which is commonly used for WMN, use randomness in creating initial population and selecting the new generation usually leading the search to local minima. To this end, this study proposes a Fairness-Oriented Semichaotic Genetic Algorithm-Based Channel Assignment Technique (FA-SCGA-CAA) to solve node starvation problem in wireless mesh networks. FA-SCGA-CAA maximizes link fairness while minimizing link interference using a genetic algorithm (GA) with a novel nonlinear fairness-oriented fitness function. The primary chromosome with powerful genes is created based on multicriterion links ranking channel assignment algorithm. Such a chromosome was used with a proposed semichaotic technique to create a strong population that directs the search towards the global minima effectively and efficiently. The proposed semichaotic technique was also used during the mutation and parent selection of the new genes. Extensive experiments were conducted to evaluate the proposed algorithm. A comparison with related work shows that the proposed FA-SCGA-CAA reduced the potential node starvation by 22% and improved network capacity utilization by 23%. It can be concluded that the proposed FA-SCGA-CAA is reliable to maintain high node-level fairness while maximizing the utilization of the network resources, which is the ultimate goal of many wireless networks.

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“…Especially with the development of the Internet of Things (IoT), it has emerged as a ubiquitous part of modern communication networks. The rapid developments of WSNs and potential applications have increasing demands of network performance, including higher throughput, lower latency, longer lifetime and lower energy consumption [5][6][7]. For example, in the time-sensitive applications, including industrial monitoring, healthcare monitoring, etc., the higher latency may lead to serious industrial accident and/or to cause a patient to miss the chance of emergency aid.…”

Section: Introductionmentioning

confidence: 99%

Optimal Energy Consumption Tasks Scheduling Strategy for Multi-Radio WSNs

Qiao

Peng

Zhang

2020

Sensors

Self Cite

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Multi-radio technology is regarded as a promising way to improve the performance of Wireless Sensor Networks (WSNs) and has attracted much attention of researchers. It is very important to reduce energy consumption and to prolong the lifetime of Multi-Radio WSNs (MR-WSNs), since the node is generally battery-operated in MR-WSN environments. In this paper, two typical types of energy consumption process, the transmitting energy consumption and idle listening energy consumption, are analyzed firstly. Based on the above analysis, the energy consumption model of multi-radio nodes is built, and then it is considered as the optimization objective for the minimization energy consumption of multi-radio nodes. Furthermore, the heuristic optimal energy consumption task scheduling strategy based on the Particle Swarm Optimization (PSO) algorithm is proposed, and then the detailed steps of the proposed strategy are presented. Finally, the effectiveness and performance of the proposed strategy are evaluated through practical experiments and simulations. Evaluation results show that the proposed strategy outperforms some other algorithms, in terms of energy consumption, network lifetime, and tasks extensibility.

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Distributed Adaptive Channel Allocation in Multi-Radio Wireless Sensor Networks

Cited by 6 publications

References 14 publications

The Research on Time Synchronization Protocol of Lightweight for Wireless Sensor Network

The Research on Time Synchronization Protocol of Lightweight for Wireless Sensor Network

Fairness‐Oriented Semichaotic Genetic Algorithm‐Based Channel Assignment Technique for Node Starvation Problem in Wireless Mesh Networks

Optimal Energy Consumption Tasks Scheduling Strategy for Multi-Radio WSNs

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