Purpose

Internet of things (IoT) is essential in technical, social and economic domains, but there are many challenges that researchers are continuously trying to solve. Traditional resource allocation methods in IoT focused on the optimal resource selection process, but the energy consumption for allocating resources is not considered sufficiently. This paper aims to propose a resource allocation technique aiming at energy and delay reduction in resource allocation. Because of the non-deterministic polynomial-time hard nature of the resource allocation issue and the forest optimization algorithm’s success in complex problems, the authors used this algorithm to allocate resources in IoT.

Design/methodology/approach

For the vast majority of IoT applications, energy-efficient communications, sustainable energy supply and reduction of latency have been major goals in resource allocation, making operating systems and applications more efficient. One of the most critical challenges in this field is efficient resource allocation. This paper has provided a new technique to solve the mentioned problem using the forest optimization algorithm. To simulate and analyze the proposed technique, the MATLAB software environment has been used. The results obtained from implementing the proposed method have been compared to the particle swarm optimization (PSO), genetic algorithm (GA) and distance-based algorithm.

Findings

Simulation results show that the proper performance of the proposed technique. The proposed method, in terms of “energy” and “delay,” is better than other ones (GA, PSO and distance-based algorithm).

Practical implications

The paper presents a useful method for improving resource allocation methods. The proposed method has higher efficiency compared to the previous methods. The MATLAB-based simulation results have indicated that energy consumption and delay have been improved compared to other algorithms, which causes the high application of this method in practical projects. In the future, the focus will be on resource failure and reducing the service level agreement violation rate concerning the number of resources.

Originality/value

The proposed technique can solve the mentioned problem in the IoT with the best resource utilization, low delay and reduced energy consumption. The proposed forest optimization-based algorithm is a promising technique to help enterprises participate in IoT initiatives and develop their business.

中文翻译：

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使用森林优化算法在物联网中分配资源的能源感知方法

目的

物联网（IoT）在技术、社会和经济领域至关重要，但研究人员正在不断尝试解决许多挑战。物联网中传统的资源分配方法侧重于最优资源选择过程，但没有充分考虑资源分配的能耗。本文旨在提出一种旨在减少资源分配中的能量和延迟的资源分配技术。由于资源分配问题的非确定性多项式时间困难性质以及森林优化算法在复杂问题上的成功，作者使用该算法在物联网中分配资源。

设计/方法论/途径

对于绝大多数物联网应用来说，节能通信、可持续能源供应和减少延迟一直是资源分配的主要目标，从而使操作系统和应用程序更加高效。该领域最关键的挑战之一是有效的资源分配。本文提供了一种使用森林优化算法来解决上述问题的新技术。为了模拟和分析所提出的技术，使用了 MATLAB 软件环境。将实施该方法获得的结果与粒子群优化（PSO）、遗传算法（GA）和基于距离的算法进行了比较。

发现

仿真结果表明所提出的技术具有正确的性能。所提出的方法在“能量”和“延迟”方面优于其他方法（GA、PSO 和基于距离的算法）。

实际影响

本文提出了一种改进资源分配方法的有用方法。与之前的方法相比，所提出的方法具有更高的效率。基于MATLAB的仿真结果表明，与其他算法相比，能耗和延迟均得到了改善，这使得该方法在实际项目中得到了较高的应用。未来重点关注资源故障，降低资源数量方面的服务水平协议违规率。

原创性/价值

所提出的技术可以以最佳的资源利用率、低延迟和降低的能耗来解决物联网中提到的问题。所提出的基于森林优化的算法是一种很有前途的技术，可以帮助企业参与物联网计划并发展业务。