Joint network lifetime and delay optimization for topology control in heterogeneous wireless multi-hop networks

Gui, Jinsong; Zeng, Zhiwen

doi:10.1016/j.comcom.2015.01.005

Cited by 22 publications

(12 citation statements)

References 26 publications

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“…Also, as mentioned in Liu et al (2013Liu et al ( , 2014, Jiang et al (2015) and Gui and Zeng (2015), a high transmission power is not an only factor that reduces network lifetime. Therefore, other factors (e.g., fair energy consumption) should be considered to select indoor VAPs.…”

Section: The Discussion For Cell Division In Indoor Environmentsmentioning

confidence: 96%

Dynamically constructing and maintaining virtual access points in a macro cell with selfish nodes

Gui

Ahmadi

Tong

2015

Journal of Systems and Software

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Section: The Discussion For Cell Division In Indoor Environmentsmentioning

confidence: 96%

Dynamically constructing and maintaining virtual access points in a macro cell with selfish nodes

Gui

Ahmadi

Tong

2015

Journal of Systems and Software

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“…Some typical topology control methods (e.g., works in [24,25,26,27,28]) only control a flat network topology, but clustering algorithms (e.g., LEACH [29], HEED [30], and the vehicular clustering scheme in [31]) can control a hierarchical network topology. Therefore, several authors also regard clustering algorithms as topology control techniques.…”

Section: The Improved Clustering Schemementioning

confidence: 99%

A Cluster-Based Dual-Adaptive Topology Control Approach in Wireless Sensor Networks

Gui

Zhou

Xiong

2016

Sensors

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Multi-Input Multi-Output (MIMO) can improve wireless network performance. Sensors are usually single-antenna devices due to the high hardware complexity and cost, so several sensors are used to form virtual MIMO array, which is a desirable approach to efficiently take advantage of MIMO gains. Also, in large Wireless Sensor Networks (WSNs), clustering can improve the network scalability, which is an effective topology control approach. The existing virtual MIMO-based clustering schemes do not either fully explore the benefits of MIMO or adaptively determine the clustering ranges. Also, clustering mechanism needs to be further improved to enhance the cluster structure life. In this paper, we propose an improved clustering scheme for virtual MIMO-based topology construction (ICV-MIMO), which can determine adaptively not only the inter-cluster transmission modes but also the clustering ranges. Through the rational division of cluster head function and the optimization of cluster head selection criteria and information exchange process, the ICV-MIMO scheme effectively reduces the network energy consumption and improves the lifetime of the cluster structure when compared with the existing typical virtual MIMO-based scheme. Moreover, the message overhead and time complexity are still in the same order of magnitude.

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“…Typically, topology control algorithms can be categorized by preserving 1-connectivity and kconnectivity, respectively. For preserving 1-connectivity, current works mainly focused on prolonging network lifetime and increasing network capacity, without considering topology fault-tolerance [2][3][4][5][6][7][8][9][10][11]25]. To achieve fault-tolerance, algorithms that construct k-connected topologies have been proposed [12][13][14][15][16][17][18][19][20][21][22][23][24].…”

Section: Related Workmentioning

confidence: 99%

“…(2) We integrate the minimize the maximum node interference into the topology control with different k ij connectivity requirements between any two nodes and present the detail steps of our proposed algorithms. (3) We achieve minimizing the maximum node interference for attaining specific k ij connectivity between any two nodes and the finally extensive experiments by simulations to evaluate the performance of the proposed algorithms.…”

Section: Introductionmentioning

confidence: 99%

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FICTC: fault-tolerance-and-interference-aware topology control for wireless multi-hop networks

Bao

Deng

2016

J Wireless Com Network

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K-connectivity-based topology control can improve fault-tolerant performance of multi-hop wireless networks. Existing algorithms mainly focused on preserving the same k-connectivity between any two nodes. However, in practical network deployments, the algorithms enforcing k-connectivity degrade network performance, when the topology requires heterogeneous nodal fault-tolerant requirements. In this paper, we aim to develop interferenceaware topology control based on the different k ij connectivities between any two nodes and propose a fault-toleranceand-interference-aware topology control (FICTC) algorithm. It can be proved that FICTC can meet different fault-tolerant requirements between any two nodes, and is the optimum solution for min-max network interference. Simulation results show that FICTC not only leads to weaker interference, but also achieves higher throughput and lower end-to-end (E2E) delay than existing fault-tolerant topology control schemes.

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Joint network lifetime and delay optimization for topology control in heterogeneous wireless multi-hop networks

Cited by 22 publications

References 26 publications

Dynamically constructing and maintaining virtual access points in a macro cell with selfish nodes

Dynamically constructing and maintaining virtual access points in a macro cell with selfish nodes

A Cluster-Based Dual-Adaptive Topology Control Approach in Wireless Sensor Networks

FICTC: fault-tolerance-and-interference-aware topology control for wireless multi-hop networks

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