scholarly journals A Network Topology Control Algorithm Based on Mobile Nodes

2016 ◽  
Vol 12 (10) ◽  
pp. 76
Author(s):  
Huarui Wu ◽  
Li Zhu
Keyword(s):  
Energy Consumption ◽  
Network Topology ◽  
Topology Control ◽  
Control Algorithm ◽  
Network Performance ◽  
Network Connectivity ◽  
Node Degree ◽  
Mobile Nodes ◽  
Network Nodes ◽  
Local Topology

<p style="margin: 0in 0in 10pt;"><span style="font-family: Times New Roman; font-size: small;">Topology control is of great significance to reduce energy consumption of wireless sensor network nodes and prolong network lifetime. Different tasks taken by nodes may lead to node failures and fractures of data transmission links, hence undermining the overall network performance. In response to such problems, this paper presents a network topology control algorithm based on mobile nodes that fully considers node energy, node degree and network connectivity. Furthermore, a topology control model is established to analyze weak network topology areas and carry out local topology refactoring. Finally, a simulation experiment demonstrates that the presented algorithm is advantageous in balanced network energy consumption and network connectivity.</span></p>

An Energy-Balance Based Distributed Topology Control Algorithm for Wireless Sensor Networks

2012 ◽  
Vol 490-495 ◽  
pp. 1392-1396 ◽  
Author(s):  
Chu Hang Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Topology Control ◽  
Control Algorithm ◽  
Path Loss ◽  
Network Connectivity ◽  
Premature Death ◽  
Residual Energy ◽  
Wireless Sensor

Topology control is an efficient approach which can reduce energy consumption for wireless sensor networks, and the current algorithms mostly focus on reducing the nodes’ energy consumption by power adjusting, but pay little attention to balance energy consumption of the whole network, which results in premature death of many nodes. Thus, a distributed topology control algorithm based on path-loss and residual energy (PRTC) is designed in this paper. This algorithm not only maintains the least loss links between nodes but also balances the energy consumption of the network. The simulation results show that the topology constructed by PRTC can preserve network connectivity as well as extend the lifetime of the network and provide good performance of energy consumption.

scholarly journals Cross-Layer Optimized Energy-Balanced Topology Control Algorithm for WSNs

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Yongwen Du ◽  
Zhangmin Wang ◽  
Junhui Gong ◽  
Ning Xu ◽  
Xiaohui Hu
Keyword(s):  
Game Theory ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Topology Control ◽  
Control Algorithm ◽  
Network Connectivity ◽  
High Energy ◽  
Wireless Sensor ◽  
Node Degree ◽  
Cross Layer

Because of the complexity of the environment and the limited resources of nodes, there will be an imbalanced energy consumption and a short life among nodes in the wireless sensor network. In this paper, by introducing the concept of game theory and supermodel game theory, we solve the challenge of a wireless sensor network topology control method based on cross-layer information design. The cross-layer information such as node degree, network connectivity, and MAC layer interference is integrated into the design of utility function to establish a new topological game model. Then, based on this topology control model, we propose a cross-layer optimized energy-balanced topology control algorithm (COETC). Compared with other algorithms, our COETC algorithm not only guarantees the network connectivity and robustness while reducing the required node transmitting power but also achieves good energy balance and high energy efficiency. Ultimately, our method effectively prolongs network lifetime and improves network performance.

A Farmland Wireless Sensor Network Optimization Topology Control Algorithm

2013 ◽  
Vol 441 ◽  
pp. 1005-1009
Author(s):  
Fei Fei Li ◽  
Hua Rui Wu ◽  
Ling Yuan ◽  
Yi Sheng Miao ◽  
Li Zhu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Topology Control ◽  
Control Algorithm ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Node Degree ◽  
Network Nodes ◽  
Hybrid Topology ◽  
Energy Issue

Different node layout density exist in farmland wireless sensor network monitoring, but the existing wireless sensor network topology control algorithm does not take uneven node distribution into consideration. And the node residual energy issue is not considered in the commonly used LMST topology control algorithm either. This paper presents a wireless sensor network hybrid topology control algorithm which considered both the uneven distribution of network nodes and the residual energy issue. Firstly, this algorithm clustering in the high node density areas based on node degree to reduce overall energy consumption. Secondly this algorithm use nodes residual energy based LMST topology control algorithm to achieve energy balance among network nodes. This improved algorithm ultimately achieved the purpose of prolonging the network lifetime.

An Improved Control for Large-Scale Wireless Sensor Networks

2011 ◽  
Vol 474-476 ◽  
pp. 2315-2319
Author(s):  
Shuang Xia Han ◽  
Lu Zhang ◽  
Jian Wen Fang
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Control Strategy ◽  
Topology Control ◽  
Control Algorithm ◽  
Large Scale ◽  
Data Communication ◽  
Communication Strategy ◽  
Wireless Sensor ◽  
Reliability Control

A 3-layer topology is proposed to solve the problem of the incompatibility of the traditional topology structure in large-scale WSN. The data communication strategy for each level have been analysed, and an topology control algorithm for top-level is brought up based on the bottleneck-nodes, which will provide higher reliability control for the key-level. The experimental results indicated that, the new topology control strategy will contribute to balance the communication load of the nodes, and the energy consumption in the key-level reduce remarkably.

scholarly journals Node-Block based Topology Control Algorithm for Mobile Optical Wireless Communication Networks

2020 ◽  
Author(s):  
Yan Gao ◽  
Tao Shang ◽  
Yuanhao Liu ◽  
Peiheng Qian
Keyword(s):  
Wireless Communication ◽  
Topology Control ◽  
Control Algorithm ◽  
Large Scale ◽  
Channel Model ◽  
Node Degree ◽  
Optical Wireless Communication ◽  
Optical Wireless ◽  
Topological Stability ◽  
Link Weight

Abstract Topology control is an efficient strategy to improve robustness and connectivity in networks. The mobility of nodes, the limited node degree and fragile links in optical wireless communication (OWC) networks make topology control a great challenge. In this paper, the node-block (NB) based topology control algorithm is proposed. Firstly, the proposed algorithm uses the prediction of the contact time between the nodes as the link weight to form a stable tree structure that is called node-block; secondly, the quantized value based on Gamma-Gamma channel model is used as the link weight between node-blocks, and then a multi-link connection is established between any two node-blocks; finally, a connected graph is formed. The performance evaluation parameters, such as topological stability, algebraic connectivity and average node degree are discussed, and their expressions are given. The related simulations are carried out, and comparing with MST algorithm are also made. The results show that our proposed topology control algorithm can ensure the connectivity and stability of the OWC networks, meanwhile, the available node degree are reserved is applied to the large-scale networks.

Mitigating Cascading Failure with Adaptive Networking

2015 ◽  
Vol 11 (02) ◽  
pp. 151-163 ◽  
Author(s):  
Hoang Anh Q. Tran ◽  
Akira Namatame
Keyword(s):  
Network Topology ◽  
Risk Sharing ◽  
Network Performance ◽  
Network Connectivity ◽  
Cascading Failure ◽  
Cascading Failures ◽  
External Shocks ◽  
Failure Simulation ◽  
Simulation Results ◽  
Average Size

The increase of a network connectivity may improve network performance, but at the same time, it may also increase the chance of extremely large risk contagion. If external shocks or excess loads at some agents are propagated to the other connected agents due to failure, the domino effects often come with disastrous consequences. How to prevent cascading failures due to external shocks is an important emerging issue. In this paper, we propose mechanisms of mitigating flow-based cascading failure. Our aim is to improve the network's resilience actively and topologically. In the scenario of how to increase cascade resilience actively, we provide a simple micro-foundation based on coordinated incentives to absorb external shocks in order to survive collectively. We propose two types of risk sharing protocols: The topology-based and non-topology-based risk sharing in which network topology plays an important role. These rules employ local sharing algorithms to achieve global shock balancing. The models of shock transfer are designed to investigate some stylized facts on how external or innate shocks tend to be allocated in a network, and how this allocation changes agents' failure probability. In the scenario of how to increase cascade resilience topologically, we provide a rewiring method in which a network is self-organizable to reduce the damage of cascading failure. Simulation results indicate that risk management and adaptive network may dramatically reduce the average size of large cascading failures.

Trust Management in Ad Hoc Networks

2010 ◽  
pp. 224-249 ◽  
Author(s):  
Rafael Timóteo de Sousa Júnior ◽  
Ricardo Staciarini Puttini
Keyword(s):  
Ad Hoc Networks ◽  
Network Topology ◽  
Trust Management ◽  
Ad Hoc ◽  
Security Requirements ◽  
Mobile Nodes ◽  
Distributed Collaboration ◽  
Ad Hoc Routing ◽  
Network Nodes ◽  
Hoc Networks

Mobile ad hoc networks (MANETs) are wireless networks whose mobile nodes exchange information without the help of a predefined network infrastructure. MANET services, such as auto-configuration and ad hoc routing, must be provided in a distributed and self-organizing manner, by collaboration between network nodes and requiring each participant to both provide its own resources and exploit others’ resources. As the nodes may, continually and at any time, appear, disappear or move around within the network, the structure of a MANET is constructed dynamically and the network topology is subject to frequent and unforeseeable changes. In this situation traditional security solutions are insufficient to exhaustively address all security requirements. The distinctive characteristics of ad hoc networks imply the need for distributed collaboration solutions that are based on some form of trust. In this chapter, the authors survey the modes of utilization of trust as means for providing, with network security mechanisms or as an alternative to them, the necessary services in MANETs.

A Low-power Hierarchical Wireless Sensor Network Topology Control Algorithm

2010 ◽  
Vol 36 (4) ◽  
pp. 543-549 ◽  
Author(s):  
Yi-Mei KANG ◽  
Zhi-Jun LI ◽  
Jiang HU ◽  
Ji-Chang DONG
Keyword(s):  
Wireless Sensor Network ◽  
Low Power ◽  
Sensor Network ◽  
Network Topology ◽  
Topology Control ◽  
Control Algorithm ◽  
Wireless Sensor
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