A Stable Routing Framework for Tree-Based Routing Structures in WSNs

Delaney, Declan; Higgs, Rowan; O’Hare, Gregory M. P.

doi:10.1109/jsen.2014.2329391

Cited by 27 publications

(11 citation statements)

References 33 publications

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“…In the Wireless Sensor Networks, The first-order radio model is usually applied to formulate the energy consumption for each sensor node in its transmitting module [28][29] [30] . To be specific, it is shown as the following expressions (1-2),…”

Section: Energy Consumption Modelmentioning

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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Section: Energy Consumption Modelmentioning

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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“…al. [3] has worked upon QoS differentiation in single-path and multi-path routing for wireless mesh network-based smart grid applications.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Routing with Segmental Routing Mechanism for Wireless Mesh Network (WMN)

2019

IJITEE

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The wireless mesh networks (WMN) are the growing mediums of connectivity for the purpose of internet or intranet connectivity. The routing among the WMN becomes a challenging task with the rise in the number of nodes across the network and the larger data volumes. In this paper, the work has been carried out on the growing WMNs with the dynamic number of nodes. The node availability aware neighbor formation and status tracking mechanism has been applied in this scheme in order to keep the network updated about the working nodes and to eliminate the non-functional nodes from the connected mesh network. The neighbor query process is utilized for the path building towards the base stations (BTS) or Sink node in the given WMN networks. Additionally; the routing information is collected from all of the neighboring nodes towards the destination paths using the desired mechanism for the path discovery under the segmental routing mechanism for WMN, which has been created with the capability of handling the network path failures dynamically in the local domain of the given network zone. The performance of the proposed model has been analyzed in the form of energy consumption, end-to-end delay and detailed energy & packet based analysis

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“…Experiments are conducted using three network solutions each based on the RPL routing protocol. Each solution differs in choice of routing metric with Expected Transmission Count (ETX) [30], Expected Transmissions with Neighbourhood Heuristics (ETX-NH) [31,32] and Expected Transmission Time (ETT) [33] used in the comparisons. Each solution is tested over a range of the physical characteristics used to describe the network.…”

Section: Modelling the Communication Solutionsmentioning

confidence: 99%

A Framework to Implement IoT Network Performance Modelling Techniques for Network Solution Selection

Delaney

O’Hare

2016

Sensors

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No single network solution for Internet of Things (IoT) networks can provide the required level of Quality of Service (QoS) for all applications in all environments. This leads to an increasing number of solutions created to fit particular scenarios. Given the increasing number and complexity of solutions available, it becomes difficult for an application developer to choose the solution which is best suited for an application. This article introduces a framework which autonomously chooses the best solution for the application given the current deployed environment. The framework utilises a performance model to predict the expected performance of a particular solution in a given environment. The framework can then choose an apt solution for the application from a set of available solutions. This article presents the framework with a set of models built using data collected from simulation. The modelling technique can determine with up to 85% accuracy the solution which performs the best for a particular performance metric given a set of solutions. The article highlights the fractured and disjointed practice currently in place for examining and comparing communication solutions and aims to open a discussion on harmonising testing procedures so that different solutions can be directly compared and offers a framework to achieve this within IoT networks.

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A Stable Routing Framework for Tree-Based Routing Structures in WSNs

Cited by 27 publications

References 33 publications

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

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

Smart Routing with Segmental Routing Mechanism for Wireless Mesh Network (WMN)

A Framework to Implement IoT Network Performance Modelling Techniques for Network Solution Selection

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