Load Balancing in Software-Defined Networks Using Spider Monkey Optimization Algorithm for the Internet of Things

2020 ◽  
Vol 116 (1) ◽  
pp. 23-43
Author(s):  
Jayaprakash Mayilsamy ◽  
Devi Priya Rangasamy
Keyword(s):  
Internet Of Things ◽  
Load Balancing ◽  
Optimization Algorithm ◽  
Spider Monkey ◽  
The Internet ◽  
Software Defined Networks ◽  
Spider Monkey Optimization ◽  
The Internet Of Things

scholarly journals A Novel Bioinspired Multiobjective Optimization Algorithm for Designing Wireless Sensor Networks in the Internet of Things

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Jun Huang ◽  
Liqian Xu ◽  
Cong-cong Xing ◽  
Qiang Duan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Multiobjective Optimization ◽  
Optimization Algorithm ◽  
Chaotic Behavior ◽  
Ant Colony ◽  
Wireless Sensor ◽  
The Internet ◽  
The Internet Of Things

The design of wireless sensor networks (WSNs) in the Internet of Things (IoT) faces many new challenges that must be addressed through an optimization of multiple design objectives. Therefore, multiobjective optimization is an important research topic in this field. In this paper, we develop a new efficient multiobjective optimization algorithm based on the chaotic ant swarm (CAS). Unlike the ant colony optimization (ACO) algorithm, CAS takes advantage of both the chaotic behavior of a single ant and the self-organization behavior of the ant colony. We first describe the CAS and its nonlinear dynamic model and then extend it to a multiobjective optimizer. Specifically, we first adopt the concepts of “nondominated sorting” and “crowding distance” to allow the algorithm to obtain the true or near optimum. Next, we redefine the rule of “neighbor” selection for each individual (ant) to enable the algorithm to converge and to distribute the solutions evenly. Also, we collect the current best individuals within each generation and employ the “archive-based” approach to expedite the convergence of the algorithm. The numerical experiments show that the proposed algorithm outperforms two leading algorithms on most well-known test instances in terms of Generational Distance, Error Ratio, and Spacing.

scholarly journals Load Balancing of Fog Computing Centers: Minimizing Response Time of High Priority Requests

2019 ◽  
Vol 8 (11) ◽  
pp. 2713-2716
Keyword(s):  
Internet Of Things ◽  
Load Balancing ◽  
Response Time ◽  
Fog Computing ◽  
The Internet ◽  
Computing Technology ◽  
Computing Center ◽  
Computing Centers ◽  
The Internet Of Things ◽  
High Priority Request

Fog computing is one of the enabling computing technology which primarily aims to fulfill the requirements of the Internet of Things (IoT). IoT is fast-growing networking and computing sector. The scalability of users, devices, and application is crucial for the success of IoT systems. The load balancing is an approach to distribute the load among computing nodes so that the computing nodes are not overloaded. In this paper, we propose the priority-based request servicing at fog computing centers. We particularly address the situation when the fog node in fog computing center (FCC) receives more workload than their capacity to handle it. The increased workload is shifted to nearby fog nodes rather than to the remote cloud. The proposed approach is able to minimize the offloading the high priority request to other nodes by 11% which proves the novelty of our proposed.

THE COMPUTING LOAD BALANCING THROUGH THE ORBITAL COMPUTER NETWORK OF THE INTERNET OF THINGS

2020 ◽  
Vol 79 (4) ◽  
pp. 343-352
Author(s):  
M. Ilchenko ◽  
T. M. Narytnyk ◽  
V. Prisyazhny ◽  
Sergii Kapshtyk ◽  
S. Matvienko
Keyword(s):  
Internet Of Things ◽  
Load Balancing ◽  
Computer Network ◽  
The Internet ◽  
The Internet Of Things

scholarly journals Application Research of Internet of Things Technology in the Causes of Dragon Boat Sports Injury

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Shuai Wang ◽  
Xia Zhao
Keyword(s):  
Internet Of Things ◽  
Optimization Algorithm ◽  
Detection System ◽  
Sports Injury ◽  
The Internet ◽  
Maintenance Optimization ◽  
Dragon Boat ◽  
Internet Of Things Technology ◽  
The Internet Of Things ◽  
Cluster Maintenance

In recent years, the Internet of Things technology can effectively innovate applications and services. The Internet of Things technology has become more and more popular. It provides an effective and direct bridge between the physical world and virtual objects in cyberspace. With the increase in the intensity of dragon boat training and the increasingly fierce competition, the possibility of injury is increasing. Dragon boat racing is a noncontact team sport based on strength and technology. The purpose of this paper is to solve the problem of people's lack of understanding of the sports injuries and causes of dragon boat athletes. We used the data fusion algorithm and cluster maintenance optimization algorithm to study the application of Internet of Things technology in the cause of dragon boat sports injury. In order to save energy, extend the network life cycle, shorten service interruption time, and increase data packet transmission, the cluster maintenance optimization algorithm in this paper mainly improves and optimizes the startup time of cluster maintenance, which depends on the maintenance cost. The experiment result shows that the etiological detection system proposed in this paper matches the actual sports injury results well. The experiment result shows that the research on the cause of injury in dragon boat sports based on Internet of Things technology can detect the damage law well and can have a more comprehensive understanding for the cause of injury, which helps to prevent injuries better and take effective treatments. In the analysis part, it can be concluded that the detection system is very accurate in detecting the cause, and the accuracy rate is basically 100%.

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