Abstract
Hybrid wireless mesh networks are suitable for complex environment communication in coal mine. Mesh clients with application service and routing function in hybrid wireless mesh networks can form a highly robust hybrid network with mesh routers. The processes of nutrient flux transfer and path choice in Physarum network are similar to data transmission and routing selection in hybrid wireless mesh networks. In this article, we use Physarum-inspired autonomic optimization model to design a Physarum-inspired multi-parameter adaptive routing protocol to improve the service quality of coal mine hybrid wireless mesh networks. Physarum-inspired multi-parameter adaptive routing protocol has achieved distributed routing decision by drawing the hybrid wireless mesh network parameters into Poisson’s equation of Physarum-inspired autonomic optimization model to measure the quality of link and implements two adjustment strategies to make the protocol more adaptive. The resource-dependent adjustment, which considers the irreversible energy consumption and recoverable buffer occupation, makes the energy consumption problem prominent when there is a lack of energy. The position-dependent adjustment makes routing decision efficient according to the load of different positions, which is caused by many-to-one data transmission model in coal mine. Based on NS2, simulation experiments are performed to evaluate the performance of Physarum-inspired multi-parameter adaptive routing protocol, and the results are compared with those of ad hoc on-demand distance vector, HOPNET, ANT-DSR, and Physarum-inspired routing protocols. The experimental results show that the route path selected by Physarum-inspired multi-parameter adaptive routing protocol is better than those selected by the other four protocols in the performance of average end-to-end delay and delivery ratio. The balance of energy consumption and network load is achieved and the network lifetime is effectively prolonged when using Physarum-inspired multi-parameter adaptive routing protocol.
Highlights
The coal mine is a mobile and complex working environment due to coal mining and working-face driving, and wired communication networks cannot reach these special areas, which makes it easy for blind monitoring areas to form.[1]
In this kind of networks, mesh clients (MCs) can perform the routing functionality as mesh routers (MRs), which results in hybrid wireless mesh networks (HWMNs) with strong selforganization and self-healing abilities, as well as high robustness
In the process of running the network, energy problem is prominent for MCs; PIMAR adjusts the weight of the energy factor with the change in energy consumption: the more energy the node has consumed, the bigger the value of a is, and the less likely it is that the node will be selected
Summary
The coal mine is a mobile and complex working environment due to coal mining and working-face driving, and wired communication networks cannot reach these special areas, which makes it easy for blind monitoring areas to form.[1]. Researchers have put forward some methods to solve the above problems These methods are based on the performance parameters of nodes, such as energy and buffer, which are used as the routing decision metric by adding appropriate proportion adjustment factors. These factors are given fixed values, resulting in poor adaptability to the changing network state. The process of nutrient delivery and the path choice in the Physarum network are very similar to data transmission and route selection in HWMNs. the characteristics of the Physarum network can inspire us to apply such a model to routing decision in HWMNs. the PAO is not appropriate for use in HWMNs directly because it is calculated based on the global information and has high complexity and overhead. The conclusions of the study are presented in section ‘‘Conclusion and future studies.’’
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