Abstract
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.
Highlights
A wireless sensor network (WSN) is a multihop selforganizing network intended for data collection
The MATLAB R2016a simulation software is used to simulate the topology control algorithm cross-layer optimized energy-balanced topology control algorithm (COETC) based on a supermodular game
The distributed optimal response control algorithm (DIA) proposed in [12], a topology control game algorithm MLPT based on link power consumption from [13], and a distributed energy balance topology control algorithm distributed energy-balanced topology control algorithm (DEBA) from [17] are used as comparisons to the COETC algorithm
Summary
A wireless sensor network (WSN) is a multihop selforganizing network intended for data collection. Topology control technology provides an optimized network topology, which affects network routing and MAC protocols. The design of an effective topology control method needs to consider the energy consumption factors and the cross-protocol layer for a variety of performance parameters. When the sensor nodes perform data forwarding, they will exhibit selfish behavior due to energy saving considerations, and competition will occur between nodes [3] On this basis, game theory was introduced into the study of WSN topology control. In order to accurately describe the topological game behavior between nodes, this paper introduces the supermodel game theory into the WSN topology control technology and integrates multiple performance parameters across the protocol layer into the utility function of the model. Under the premise of ensuring network connectivity and robustness, COETC solves the problem of energy imbalance between nodes, which improves energy efficiency and effectively prolongs network lifetime
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