Hybrid Optimization Model for Multi-Hop Protocol of Linear Railway Disaster Wireless Monitoring Networks
Abstract : The multi-hop protocols are proved effective in the railway disaster wireless monitoring system. However, farther transmission distance with the larger data will decline the valid lifetime and reliability of the system. Most existing studies focused primarily on the communication protocols optimization, and some works tried to utilize the limited computation ability at the network-level or node-level, which are insufficient for the stiff disaster information monitoring demands. This paper presents an adaptive hybrid computation and communication strategy to fully taking advantage of the sensor processing ability, and improve the energy efficiency at the link-level. Furthermore, an adaptive optimization model is designed to meet the different monitoring demands of the system, and the valid lifetime is improved accordingly. Numerical examples with various operational scenarios are developed to demonstrate the superiority and practicality of the proposed protocol in the lifetime improvement, energy consumption minimization and equalization compared with other outstanding protocols.
? It may be difficult to replace the existing nodes, hence the network has to be fault tolerant in order to prevent individual failures from reducing the network lifetime.
? Therefore, a WSN may face the challenge of co-channel interferences imposed by both other WSNs and other co-existing heterogeneous wireless systems.
? We present an overview of the existing contributions that are focused on using MOO in the context of WSNs.
? They used an analytical model, which facilitated the comparison of the trade-offs in scenarios employing different deployment-phase protocols, and presented a pair of novel algorithms (i.e., latency-oriented/energy-oriented data aggregation tree construction algorithms), which outperformed the existing ones.
? We will study the data characteristics in other filed in the future, and try to design a universal model for the sort of problems in ordinary railway operations, motorways or other traffic modes, so as to improve the availability of the wireless monitoring system in intelligent transportation systems.
? Two essential issues should be addressed when designing the communication protocols.
? Because the primary task of the monitoring system is to gather the service condition information, the lifetime has a bigger impact on the system utility compared with the latency.
? These problems are addressed in this work.
• In contrast to other surveys, the authors of provided a classification of algorithms proposed in the literature for planned deployment of WSNs.
• A multi-objective routing model based on ACO was proposed in , which optimizes the network’s delay, energy consumption and data packet loss rate.
• A numerical algorithm was conceived for obtaining the exact optimal solution, and a dynamic programming based approximation algorithm was also proposed.
• They proposed a general cross-layer optimization-based framework that took into account the associated radio resource allocation issues and designed a distributed algorithm by relying on the so-called dual decomposition of the original problem.
? To improve the performance of the monitoring system, an adaptive criterion is considered.
? The optimization model of the monitoring system is designed to improve the performance of the wireless monitoring network.
? To analyze the performance of the proposed Adaptive Utility Maximization Protocol (AUMP) for the linear railway monitoring system, we compare its performance with other existing protocols with the objectives of minimizing the total energy consumption (MTEC), minimizing the maximum energy consumption (MMEC), and minimizing the variance of the energy consumption (MVEC).
? The performance measures include the hops, latency, lifetime, and relative utility of the system.
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