Energy-Efficient Mobile Agent Protocol for Secure IoT Sustainable Applications

被引:1
|
作者
Elhoseny, Mohamed [1 ,2 ]
Siraj, Mohammad [3 ]
Haseeb, Khalid [4 ]
Nawaz, Muhammad [5 ]
Altamimi, Majid [3 ]
Alghamdi, Mohammed, I [6 ]
机构
[1] Mansoura Univ, Fac Comp & Informat, Mansoura 35516, Egypt
[2] Univ Sharjah, Coll Comp & Informat, Sharjah 27272, U Arab Emirates
[3] King Saud Univ, Coll Engn, Elect Engn Dept, Riyadh 11421, Saudi Arabia
[4] Islamia Coll Peshawar, Dept Comp Sci, Peshawar 25000, Pakistan
[5] Inst Management Sci, Dept Comp Sci, Peshawar 25000, Pakistan
[6] Al Baha Univ, Dept Comp Sci, Al Baha 1988, Saudi Arabia
关键词
Internet of Things; network management; sustainable applications; agents; mutual trust; BIG DATA; INTERNET; THINGS; NETWORKS;
D O I
10.3390/su14148960
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Internet of Things (IoT) and sensor technologies are combined with various communication networks in smart appliances and perform a significant role. Connected devices sense, analyze, and send environmental data, as well as support applications' connections. Mobile agents can be explored to provide sensing intelligence with IoT-based systems. Many strategies have been proposed to address the issue of energy efficiency while maintaining the sensor load at a low cost. However, advancements are still desired. Furthermore, without fully trustworthy relationships, sensitive data are at risk, and the solution must provide privacy protection against unexpected events. With the development of two algorithms, this study proposes a mobile agent-based efficient energy resource management solution and also protects IoT appliances. Firstly, the software agents perform a decision using past and present precepts, and by exploring rule-based conditions, it offers an energy-efficient recommended system. Second, data from IoT appliances are securely evaluated on edge interfaces before being transferred to end-centers for verification. Simulations-based tests are conducted and verified the significance of the proposed protocol against other studies in terms of network metrics.
引用
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页数:13
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