Resource allocation has posed a challenging of scarce resources to activities over time. Problems of optimal resource allocation are motivated by questions that arise in project scheduling, production planning, computer control, broadcasting, routing data, maintenance scheduling, and etc. Data transmission in environmental, security, and health monitoring requires both quality of service (QoS) and quality of equipment (QoE) aware network in order to ensure efficient usage of the resources and effective access. In this paper, we propose a resource allocation scheme for wireless video sensor network using hybrid optimization (RAS-HO) algorithm. Firstly, the cluster formation is performed by the modified animal migration optimization algorithm, which enhances the energy consumption. Secondly, an efficient resource allocation is performed by a glowworm swarm optimization based decision making algorithm. Simulation results show that the proposed scheme achieves required resources better than existing schemes in terms of QoS metrics are energy efficient, delay fairness, throughput, and QoE metrics are peak signal to noise ratio, structural similarity.

中文翻译：

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使用混合优化算法的无线视频传感器网络的 QoS 和 QoE 增强资源分配

随着时间的推移，资源分配给活动带来了稀缺资源的挑战。优化资源分配的问题是由项目调度、生产计划、计算机控制、广播、路由数据、维护调度等方面出现的问题驱动的。环境、安全和健康监测中的数据传输需要服务质量 (QoS)和设备质量 (QoE) 感知网络，以确保资源的有效使用和有效访问。在本文中，我们提出了一种使用混合优化（RAS-HO）算法的无线视频传感器网络资源分配方案。首先，通过改进的动物迁徙优化算法进行集群形成，提高了能耗。第二，基于萤火虫群优化的决策算法执行有效的资源分配。仿真结果表明，所提出的方案在QoS指标方面比现有方案更好地实现了所需资源：能量效率、延迟公平性、吞吐量，QoE指标是峰值信噪比、结构相似性。