Strategic access in a Green IoT(Internet of Things) system with an unreliable server

IF 1 4区计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Performance Evaluation Pub Date : 2022-10-01 DOI:10.1016/j.peva.2022.102314

Kalpana Devarajan , Muthukrishnan Senthilkumar

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引用次数: 1

Abstract

The present research aims to study the strategic behaviour of users in an Internet of Things(IoT) system that is impeded by an unreliable server. In the system, an IoT device is equipped with an energy harvesting unit. The IoT system under study is employed as a Markovian retrial queueing system that is used in a single server, subject to active failures. The failed server is repaired immediately, while the user who was served before the system’s breakdown event waits in the server until the server is repaired. The generating function approach is used to identify important system performance metrics. Moreover, queueing theory concepts are incorporated into game theory for the analysis of the users’ strategies. The users in the IoT system, act to maximize their expected benefit without being perturbed by other users in the system and determine their equilibrium joining strategies. Furthermore, taking into account social welfare factors, the IoT device acts as a social planner, and as a consequence, socially optimal joining strategies are also analysed. Finally, the analytical findings are validated with numerical examples.

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服务器不可靠的绿色物联网(IoT)系统中的战略访问

本研究旨在研究受不可靠服务器阻碍的物联网(IoT)系统中用户的战略行为。在该系统中，物联网设备配备了能量收集单元。所研究的物联网系统被用作在单个服务器中使用的马尔可夫重试排队系统，受主动故障的影响。发生故障的服务器立即得到修复，而在系统故障事件之前得到服务的用户则在服务器中等待，直到服务器得到修复。生成函数方法用于识别重要的系统性能指标。此外，将排队理论的概念引入博弈论，分析用户的策略。物联网系统中的用户在不受系统中其他用户干扰的情况下，以最大限度地提高其预期收益为目标，并确定其均衡加入策略。此外，考虑到社会福利因素，物联网设备充当社会规划师，因此，还分析了社会最佳加入策略。最后，通过数值算例对分析结果进行了验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Performance Evaluation 工程技术-计算机：理论方法

CiteScore

3.10

自引率

0.00%

发文量

审稿时长

24 days

期刊介绍： Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions: -Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques -Provide new insights into the performance of computing and communication systems -Introduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools. More specifically, common application areas of interest include the performance of: -Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management) -System architecture, design and implementation -Cognitive radio -VANETs -Social networks and media -Energy efficient ICT -Energy harvesting -Data centers -Data centric networks -System reliability -System tuning and capacity planning -Wireless and sensor networks -Autonomic and self-organizing systems -Embedded systems -Network science