Cross-layer energy-aware topology control through Simulated Annealing for WSNs

Xenakis, Apostolos; Foukalas, Fotis; Stamoulis, George

doi:10.1016/j.compeleceng.2016.02.015

Cited by 21 publications

(13 citation statements)

References 9 publications

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“…In [35], the authors applied a metaheuristic technique like SA (simulated annealing) for cross-layer energy-aware topology control problem. They suggested optimizing problems to reduce energy consumption through energy control, packet transfer via ECC, and topology regulation in WSNs with power-aware.…”

Section: Energy Efficiencymentioning

confidence: 99%

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A Review on Cross-Layer Design Approach in WSN by Different Techniques

Parween¹,

Hussain²

2020

Adv. sci. technol. eng. syst. j.

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Wireless Sensor Networks (WSN) include a large number of sensor nodes that are connected to each other with the limitations in energy sources, battery life, memory, mobility and computational capacity. Since the traditional layered architecture was appropriate only for the wired network. It works within a strict boundary that leads to more energy usage as well as more communication traffic. It also impacts on the overall network lifespan and performance of the system. Energy efficiency and network lifespan are the primary concern of WSN due to the fact that each node in the network operates with extremely limited energy. Recent studies have shown that the Open System Interconnection (OSI) model cannot meet the demands of the wireless sensor network. To overcome such limitations, the cross-layer design has been introduced. It allows direct interactions between protocol at non-adjacent layers. In this paper, we present different types of cross-layer design techniques in Wireless Sensor Network (WSN) and discusses several cross-layer proposals given by researchers. At the end, the paper highlights some challenges faced in implementing CLD in Wireless Sensor Networks.

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Section: Energy Efficiencymentioning

confidence: 99%

“…and simulated by previously established routing protocols. It has increased the lifespan of the network in contrast with the old techniques.--------------------[35] …”

mentioning

confidence: 99%

A Review on Cross-Layer Design Approach in WSN by Different Techniques

Parween¹,

Hussain²

2020

Adv. sci. technol. eng. syst. j.

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“…The fundamental problems of sensor networks are deployment and coverage, localization, and networking protocols [1][2][3]. The accuracy of node localization is crucial for many applications of distributed sensor network (DSN) [4][5][6][7]. The current node localization algorithm of WSN is mainly divided into two categories: one is a node location algorithm based on ranging and the other is a nonranging node localization algorithm.…”

Section: Background and Researchmentioning

confidence: 99%

Wireless Sensor Network Dynamic Mathematics Modeling and Node Localization

Liu

2018

Wireless Communications and Mobile Computing

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With the rapid development of wireless sensor network (WSN) technology and its localization method, localization is one of the basic services for data collection in WSN. The localization accuracy often depends on the accuracy of distance estimation. Because of the constraint in size, power, and cost of sensor nodes, the investigation of efficient location algorithms which satisfy the basic accuracy requirement for WSN meets new challenges. This paper proposes a novel intelligent node localization algorithm in WSN based on beacon nodes to improve the precision in location estimation. Firstly, system model of WSN node localization is constructed according to the WSN environment. Then traditional WSN node localization methods such as DV-HOP, GA, and PSO are studied. Localization algorithm of WSN is proposed by using dynamic mathematics modeling. And the result of simulation, which is compared to the traditional algorithm, indicated that this algorithm is better to improve the accuracy and coverage of WSN. The simulation results show that the performance of the proposed WSN location algorithm is better than the traditional localization algorithms.

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“…As a new network, the space sensor network is a multi-discipline, highly intersecting researched hot field, which is of both military and business values. Topology control is one of the most fundamental problems in space sensor networks [1][2][3], which are the newest technology of information collecting and processing, have a wide range of application including military and business. But the node localization information played a key role in the application of space sensor network.…”

Section: Introductionmentioning

confidence: 99%

Research of Space Network Node Route Planning and Localization in HAPS Space

Liu

2018

TNC

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Compared with the traditional method of detection tracking, space sensor networks for its good character of the traditional tracking methods inadequate. For the localization algorithm and route planning of space sensor network exists a big positioning error in high altitude platform station (HAPS) space communication. Space sensor network communication system is researched. According to the anchor nodes and unknown nodes, location algorithm and node route planning method of HAPS are proposed in this paper. The performance of the node density and location error are simulated and analyzed in HAPS. The simulation results show that the performance of proposed location error is better than the traditional algorithms.

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Cross-layer energy-aware topology control through Simulated Annealing for WSNs

Cited by 21 publications

References 9 publications

A Review on Cross-Layer Design Approach in WSN by Different Techniques

A Review on Cross-Layer Design Approach in WSN by Different Techniques

Wireless Sensor Network Dynamic Mathematics Modeling and Node Localization

Research of Space Network Node Route Planning and Localization in HAPS Space

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