scholarly journals A QoS-Based Topology Control Algorithm for Underwater Wireless Sensor Networks

2010 ◽  
Vol 6 (1) ◽  
pp. 642053 ◽  
Author(s):  
Linfeng Liu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Topology Control ◽  
Wireless Sensor ◽  
Model Parameters ◽  
Potential Game ◽  
Underwater Wireless Sensor Networks ◽  
Simulation Experiments ◽  
Control Techniques ◽  
Topology Control Problem

The topology control techniques of underwater wireless sensor networks and terrestrial wireless sensor networks are significantly different because of the particularity of underwater environments and acoustic communication. In this paper, an underwater wireless sensor network model was constructed, and six universal topology control objectives were concluded. The QoS topology control problem was mapped into an ordinal potential game model, and a distributed strategy adjustment algorithm for nodes was designed accordingly. The strategy vector resulting from the algorithm converges to the Nash equilibrium; minor complexity and preferable approximate ratios can be represented by the algorithm as well. The performance of the algorithm was analyzed through simulation experiments which indicate a well-constructed topology. Every objective was upgraded when model parameters were set suitable.

scholarly journals A Distributed Energy-Balanced Topology Control Algorithm Based on a Noncooperative Game for Wireless Sensor Networks

2018 ◽  
Author(s):  
Yongwen Du ◽  
Junhui Gong ◽  
Zhangmin Wang ◽  
Ning Xu
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Balance ◽  
Topology Control ◽  
Control Algorithm ◽  
Wireless Sensor ◽  
Theil Index ◽  
Potential Game ◽  
Game Model

In wireless sensor networks, there is no a central controller to enforce cooperation between nodes. Therefore, nodes may generate selfish behavior to conserve their energy resources. In this paper, we address the problems of transmission power minimization and energy balance in wireless sensor networks using a topology control algorithm. We considered the energy efficiency and energy balance of the nodes, and an improved optimization-integrated utility function is designed by introducing the Theil index. Based on this, a topological control game model of energy balance is established, and it is proved that the topological game model is an ordinal potential game with Pareto optimality. Additionally, an energy-balanced topology control game algorithm (EBTG) is proposed to construct topologies. The simulation and comparison show that, compared with other topological control algorithms based on game theory, the EBTG algorithm can improve energy balance and energy efficiency while reducing the transmitting power of nodes, thus prolonging the network lifetime.

scholarly journals Potential-Game Based Optimally Rigid Topology Control in Wireless Sensor Networks

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 16599-16609 ◽  
Author(s):  
Xiaoyuan Luo ◽  
Xiaolei Li ◽  
Jiange Wang ◽  
Xinping Guan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Topology Control ◽  
Wireless Sensor ◽  
Potential Game

scholarly journals A Topology Control with Energy Balance in Underwater Wireless Sensor Networks for IoT-Based Application

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2306 ◽  
Author(s):  
Zhen Hong ◽  
Xiaoman Pan ◽  
Ping Chen ◽  
Xianchuang Su ◽  
Ning Wang ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Balance ◽  
Topology Control ◽  
Water Environment ◽  
Wireless Sensor ◽  
Underwater Wireless Sensor Networks ◽  
Network Failure ◽  
Application Fields

As part of the IoT-based application, underwater wireless sensor networks (UWSN), which are typically self-organized heterogeneous wireless network, are one of the research hot-spots using various sensors in marine exploration and water environment monitoring application fields, recently. Due to the serious attenuation of radio in water, acoustic or hybrid communication is a usual way for transmitting information among nodes, which dissipates much more energy to prevent the network failure and guarantee the quality of service (QoS). To address this issue, a topology control with energy balance, namely TCEB, is proposed for UWSN to overcome time-delay and other interference, as well as make the entire network load balance. With the given underwater network model and its specialized energy consumption model, we introduce the non-cooperative-game-based scheme to select the nodes with better performance as the cluster-heads. Afterwards, the intra-cluster and inter-cluster topology construction are, respectively, to form the effective communication links of the intra-cluster and inter-cluster, which aim to build energy-efficient topology to reduce energy consumption. With the demonstration of the simulation, the results show the proposed TCEB has better performance on energy-efficiency and throughput than three other representative algorithms in complex underwater environments.

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