Distributed mobile sensor load balancing deployment algorithm based on probability coverage model

Load imbalance of distributed mobile sensors in distributed mobile sensor networks can easily lead to premature death of low-energy nodes, resulting in network partition and even network collapse, thus reducing the practicability of the network. Therefore, a distributed mobile sensor load balancing deployment algorithm based on Probabilistic Coverage Model (PCM) is proposed to deal with the relationship between residual energy of nodes and transmission power. With PCM as load balancing deployment condition, Lyapunov second method is used to deploy load balancing. The proposed distributed control law minimises the load difference among nodes. The algorithm only needs the relative location information of single hop neighbour nodes, and only carries out single hop communication. Therefore, the delay and communication load are small, and the scalability is strong. It confirms that the power system control module has a stable solution. The simulation results show that the algorithm can balance the load and energy consumption of nodes and improve the practicability of the network. © 2020 Inderscience Enterprises Ltd.