Relay Node Placement Based on Optimal Transmission Distance in Two-Tiered Sensor Network

Mao, Li; Jiang, Feng

doi:10.1109/access.2020.3000817

Cited by 8 publications

(6 citation statements)

References 17 publications

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“…Two different parameters like relay nodes' deployed quantity and movement price minimization are concerned to provide the maximum coverage area. Mao Li and Feng Jiang et al [22] proposed two-dimensional topologies based on Optimal Transmission Distance Algorithms (OTDAs) to lower energy usage and extend the lives of networks.…”

Section: Literature Surveymentioning

confidence: 99%

A Hybrid Modified Ant Colony Optimization - Particle Swarm Optimization Algorithm for Optimal Node Positioning and Routing in Wireless Sensor Networks

Saheb

Khan²,

Bindu³

2022

Int. j. electr. comput. eng. syst. (Online)

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Wireless Sensor Networks (WSNs) have been widely deployed in hostile locations for environmental monitoring. Sensor placement and energy management are the two main factors that should be focused due to certain limitations in WSNs. The nodes in a sensor network might not stay charged when energy draining takes place; therefore, increasing the operational lifespan of the network is the primary purpose of energy management. Recently, major research interest in WSN has been focused with the essential aspect of localization. Several types of research have also taken place on the challenges of node localization of wireless sensor networks with the inclusion of range-free and range-based localization algorithms. In this work, the optimal positions of Sensor Nodes (SNs) are determined by proposing a novel Hybrid M-ACO – PSO (HMAP) algorithm. In the HMAP method, the improved PSO utilizes learning strategies for estimating the relay nodes' optimal positions. The M-ACO assures the data conveyance. A route discovers when it relates to the ideal route irrespective of the possibility of a system that includes the nodes with various transmission ranges, and the network lifetime improves. The proposed strategy is executed based on the energy, throughput, delivery ratio, overhead, and delay of the information packets.

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Section: Literature Surveymentioning

confidence: 99%

A Hybrid Modified Ant Colony Optimization - Particle Swarm Optimization Algorithm for Optimal Node Positioning and Routing in Wireless Sensor Networks

Saheb

Khan²,

Bindu³

2022

Int. j. electr. comput. eng. syst. (Online)

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“…However, these studies primarily focus on transmission distance constraints and do not fully account for the operational dynamics of wireless sensor networks. In contrast, Bagaa et al [ 18 ] and Li et al [ 19 ] establish models for optimal relay node placement, specifically targeting the minimization of energy consumption in wireless signal transmission. Various works in the literature [ 20 , 21 ] delve into relay node location problems considering signal coverage constraints.…”

Section: Introduction and State-of-the-artmentioning

confidence: 99%

The concept of optimal planning of a linearly oriented segment of the 5G network

Kovtun,

Grochla,

Zaitseva

et al. 2024

PLoS ONE

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In the article, the extreme problem of finding the optimal placement plan of 5G base stations at certain points within a linear area of finite length is set. A fundamental feature of the author’s formulation of the extreme problem is that it takes into account not only the points of potential placement of base stations but also the possibility of selecting instances of stations to be placed at a specific point from a defined excess set, as well as the aspect of inseparable interaction of placed 5G base stations within the framework of SON. The formulation of this extreme problem is brought to the form of a specific combinatorial model. The article proposes an adapted branch-and-bounds method, which allows the process of synthesis of the architecture of a linearly oriented segment of a 5G network to select the best options for the placement of base stations for further evaluation of the received placement plans in the metric of defined performance indicators. As the final stage of the synthesis of the optimal plan of a linearly oriented wireless network segment based on the sequence of the best placements, it is proposed to expand the parametric space of the design task due to the specific technical parameters characteristic of the 5G platform. The article presents a numerical example of solving an instance of the corresponding extremal problem. It is shown that the presented mathematical apparatus allows for the formation of a set of optimal placements taking into account the size of the non-coverage of the target area. To calculate this characteristic parameter, both exact and two approximate approaches are formalized. The results of the experiment showed that for high-dimensional problems, the approximate approach allows for reducing the computational complexity of implementing the adapted branch-and-bounds method by more than six times, with a slight loss of accuracy of the optimal solution. The structure of the article includes Section 1 (introduction and state-of-the-art), Section 2 (statement of the research, proposed models and methods devoted to the research topic), Section 3 (numerical experiment and analysis of results), and Section 4 (conclusions and further research).

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“…On the other hand, a relay is a node that connects the transmission from a BS to users, especially in long-distance transmission [20]- [24]. The relay-node (RN) is also suitable for being placed in highly populated areas to support network capacity [25]- [27].…”

Section: Introductionmentioning

confidence: 99%

Energy efficiency scheme for relay node placement in heterogeneous networks

et al. 2023

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Relay node (RN) placement expands the network coverage and capacity and significantly reduces the energy consumption of heterogeneous networks (HetNets). Energy efficiency is the system design parameter in HetNets as it determines network operators' energy consumption and economic value. Relay is one of the energy-saving methods, where it can reduce the transmit power by breaking a long transmission distance into several short transmissions. However, placing an RN without a proper transmission distance may lead to a waste of energy. Thus, investigating an optimum RN placement in HetNets is crucial to ensure energy efficiency and maintain network performance. This paper presents an energy efficiency scheme for the RN based on four commonly used network topologies of indoor HetNets. The minimum energy consumption algorithm is proposed based on a comparison of distance and links of the RN. The results show that the circular network topology is an optimal network model with an efficiency factor increase of 6% that can be used to design the energy efficiency indoor HetNet.

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Relay Node Placement Based on Optimal Transmission Distance in Two-Tiered Sensor Network

Cited by 8 publications

References 17 publications

A Hybrid Modified Ant Colony Optimization - Particle Swarm Optimization Algorithm for Optimal Node Positioning and Routing in Wireless Sensor Networks

A Hybrid Modified Ant Colony Optimization - Particle Swarm Optimization Algorithm for Optimal Node Positioning and Routing in Wireless Sensor Networks

The concept of optimal planning of a linearly oriented segment of the 5G network

Energy efficiency scheme for relay node placement in heterogeneous networks

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