An interference‐aware energy‐efficient routing algorithm with quality of service requirements for software‐defined WSNs

Ding, Zhaoming; Xing, Song; Yan, Feng; Xia, Weiwei; Shen, Lianfeng

doi:10.1049/iet-com.2019.0264

Cited by 14 publications

(6 citation statements)

References 30 publications

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“…An interference-aware energy-efficient routing algorithm (IA-EERA) is developed in [10] for expanding lifetime of network. However, designed algorithm failed to investigate mobility on energyefficient routing.…”

Section: * Corresponding Authormentioning

confidence: 99%

RETRACTED ARTICLE: Multivariate weighted isotonic regressive modest adaptive boosting-based resource-aware routing in WSN

2022

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WSN includes a scenario where huge amount of sensor nodes are distributed to monitor environmental conditions with route collected data towards sinks via the internet. WSNs efficiently manage the wider network with available resources, such as residual energy and wireless channel bandwidth. Therefore, routing algorithm is important to enhance battery-constrained networks. Many existing techniques are developed for balancing consumption of energy but efficient routing was not achieved. Multivariate Weighted Isotonic Regressive Modest Adaptive Boosting based Resource Aware Routing (MWIRMAB-RAR) technique is introduced for enhancing routing. The MWIRMAB-RAR technique includes a different process namely resource-aware node selection, route path discovery, and data transmission. Initially, the MWIRMAB-RAR technique uses the Modest Adaptive Boosting technique uses the Multivariate Weighted Isotonic Regression function for detecting resource-efficient sensor nodes for effective data transmission. After that, multiple route paths are established based on the time of flight method. After establishes route path, source node sends data packets to sink node via resource-efficient nodes. The data delivery was enhanced and minimizes packet loss as well as delay. The simulation analysis is carried out on certain performance factors such as energy consumption, packet delivery ratio, packet loss rate, and delay with number of data packets and sensor nodes. The obtained evaluation indicates MWIRMAB-RAR outperforms well in terms of increasing data packet delivery and reduces consumption of energy, packet loss rate, and delay.

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Section: * Corresponding Authormentioning

confidence: 99%

RETRACTED ARTICLE: Multivariate weighted isotonic regressive modest adaptive boosting-based resource-aware routing in WSN

2022

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“…It also provides reliability by adopting the routing topology from [12], [13]. Another energy-aware software-defined WSN design is presented in [14]. However, none of these solutions is compatible with RPL and IPv6.…”

Section: A Related Workmentioning

confidence: 99%

Embedded vs. External Controllers in Software-Defined IoT Networks

Kulkarni¹,

Baddeley²,

Haque³

2021

Preprint

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The flexible and programmable architectural model offered by Software-Defined Networking (SDN) has re-imagined modern networks. Supported by powerful hardware and highspeed communications between devices and the controller, SDN provides a means to virtualize control functionality and enable rapid network reconfiguration in response to dynamic application requirements. However, recent efforts to apply SDN's centralized control model to the Internet of Things (IoT) have identified significant challenges due to the constraints faced by embedded low-power devices and networks that reside at the IoT edge. In particular, reliance on external SDN controllers on the backbone network introduces a performance bottleneck (e.g., latency). To this end, we advocate a case for supporting Software-Defined IoT networks through the introduction of lightweight SDN controllers directly on the embedded hardware. We firstly explore the performance of two popular SDN implementations for IoT mesh networks, µSDN and SDN-WISE, showing the former demonstrates considerable gains over the latter. We consequently employ µSDN to conduct a study of embedded vs. external SDN controller performance. We highlight how the advantage of an embedded controller is reduced as the network scales, and quantify a point at which an external controller should be used for larger networks.

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“…The directed transmission-based energy aware routing (PDORP) [193] which combining direction-based transmission and the Dynamic Source Routing (DSR) [194] so that nodes with lower residual energy can adaptively escape from being selected as the next hop during routing decision-making. Other strategies include the Hybrid Multi-Hop Partitioning-Based Clustering (HMPBC) [195] which aims to present an energy-saving inter-cluster routing on the basis of a clustering strategy, the Stochastic Based Traffic Distribution (SBTD) [196] , the Cost-based Energy Balanced Clustering and Routing Algorithm (CEBCRA) [197] , and the Interference-Aware EE Routing algorithm (IA-EERA) [198] , etc.…”

Section: Acm T S Nmentioning

confidence: 99%

A Survey on Energy-Efficient Strategies in Static Wireless Sensor Networks

Lin

Wang

Min

et al. 2020

ACM Trans. Sen. Netw.

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A comprehensive analysis on the energy-efficient strategy in static Wireless Sensor Networks (WSNs) which are not equipped with any energy harvesting modules was conducted in this paper. Firstly, a novel generic mathematical definition of Energy Efficiency was proposed, which took the acquisition rate of valid data, the total energy consumption, and the network lifetime of WSNs into consideration simultaneously. To the best of our knowledge, it is for the first time that the Energy Efficiency of WSNs is mathematically defined. The energy consumption characteristics of each individual sensor node and the whole network were expounded at length. Accordingly, the concepts concerning the Energy Efficiency, namely the Energy-efficient Means, the Energy-efficient Tier, and the Energy-efficient Perspective, were proposed. Subsequently, the relevant energy-efficient strategies proposed from 2002 to 2019 were tracked and reviewed. Specifically, they were classified into five categories, i.e., the Energy-Efficient Media Access Control (EEMAC) protocol, the Mobile Node Assistance Scheme (MNAS), the Energy-Efficient Clustering Scheme (EECS), the Energy-Efficient Routing Scheme (EERS), and the Compress Sensing based Scheme (CSS) respectively. A detailed elaboration on both the basic principle and the evolution of them was made. Finally, further analysis on the categories was made and the related conclusion was drawn. To be specific, the interdependence among them, the relationships between each of them and the Energy-efficient Means, the Energy-efficient Tier as well as and the Energy-efficient Perspective were analyzed in detail. Besides, the specific applicable scenarios for each of them and the relevant statistics analysis were detailed. The proportion and the number of citations of each category were illustrated by the statistical chart. In addition, the existing opportunities and challenges facing WSNs in the context of the new computing paradigm, and the feasible direction concerning the energy efficiency in the future were pointed out.

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An interference‐aware energy‐efficient routing algorithm with quality of service requirements for software‐defined WSNs

Cited by 14 publications

References 30 publications

RETRACTED ARTICLE: Multivariate weighted isotonic regressive modest adaptive boosting-based resource-aware routing in WSN

RETRACTED ARTICLE: Multivariate weighted isotonic regressive modest adaptive boosting-based resource-aware routing in WSN

Embedded vs. External Controllers in Software-Defined IoT Networks

A Survey on Energy-Efficient Strategies in Static Wireless Sensor Networks

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