Path Length Optimization in Heterogeneous Network for Internet of Things

2020 ◽  
Author(s):  
Abderrahim Zannou ◽  
Abdelhak Boulaalam ◽  
El Habib Nfaoui
Keyword(s):  
Internet Of Things ◽  
Heterogeneous Network ◽  
Path Length ◽  
Length Optimization

Path Planning Based on Warehousing Intelligent Inspection Robot in Internet of Things

2011 ◽  
Vol 267 ◽  
pp. 318-321 ◽  
Author(s):  
Lian Suo Wei ◽  
Yuan Guo ◽  
Xue Feng Dai
Keyword(s):  
Internet Of Things ◽  
Path Planning ◽  
Mobile Robot ◽  
Path Length ◽  
Fitness Function ◽  
The Internet ◽  
Vague Set ◽  
Inspection Robot ◽  
Planning Approach ◽  
The Internet Of Things

A path planning approach using combination of the Internet of Things and vague set of multi-objective decision-making was presented aiming at mobile robots in structured environments. The information of environment constrains and path length was integrated in the fitness function which was computed to sort scores of function values in order to realize path planning of mobile robot. Finally, it is proved by computer simulations that the algorithm is rational and can be used in real-time path planning of mobile robot.

Design and Implementation of Intelligent Warehousing Management System Using Internet of Things

2013 ◽  
Vol 432 ◽  
pp. 609-614
Author(s):  
Xiao Jie Liu ◽  
Quan Liu ◽  
Wen Jun Xu ◽  
Li Wen Yang ◽  
Li Fan ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Heterogeneous Network ◽  
Management System ◽  
Working Environment ◽  
Prototype System ◽  
Design And Implementation ◽  
Advanced Technologies ◽  
Operation Results ◽  
Logistics Capability

In this paper, an intelligent warehousing management system (IWMS) using Internet of Things is designed to facilitate the warehousing management. Firstly, the characteristics of IWMS are analyzed, together with some new advanced technologies and theories, such as RFID, Zigbee and heterogeneous network are introduced. Then, the architecture of IWMS is developed and the related management system is accomplished as well. Finally, through the implementation of a prototype system in practical working environment, the operation results show the IWMS can facilitate storekeeper to manage the warehouse and improve logistics capability efficiently.

scholarly journals A New Authentication Scheme with Elliptical Curve Cryptography for Internet of Things (IoT) Environments

2018 ◽  
Vol 7 (2.26) ◽  
pp. 119 ◽  
Author(s):  
M Durairaj ◽  
K Muthuramalingam
Keyword(s):  
Internet Of Things ◽  
Heterogeneous Network ◽  
Industrial Applications ◽  
Authentication Scheme ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Significant Challenge ◽  
Iot Applications ◽  
Industrial Iot ◽  
And Control

Internet of Things (IoT) consists of a large number of connected objects that are communicating with each other. To support trusted communication between IoT objects, the authentication procedures should be used and applied to the communicating entities. Internet of Things (IoT) is an emerging technology, which makes the remote sensing and control across the heterogeneous network a reality, and has good prospects in industrial applications. As an essential infrastructure, Wireless Sensor Networks (WSNs) play a crucial role in industrial IoT. Due to the resource-constrained feature of sensor nodes, the design of security and efficiency balanced authentication scheme for WSNs becomes a significant challenge in IoT applications. In this paper, an anonymous authentication scheme for WSNs in an Internet of Things environments.  

Lightweight Secure Architectural Framework for Internet of Things

2019 ◽  
pp. 157-168
Author(s):  
Muthuramalingam S. ◽  
Nisha Angeline C. V. ◽  
Raja Lavanya
Keyword(s):  
Computational Complexity ◽  
Internet Of Things ◽  
Mobile Communication ◽  
Heterogeneous Network ◽  
High Speed ◽  
Iot Applications ◽  
Architectural Framework ◽  
Multiple Services ◽  
High Traffic Volume ◽  
Time Systems

In this IoT era, we have billions of devices connected to the internet. These devices generate tons of data that has to be stored, processed, and used for making intelligent decisions. This calls for the need for a smart heterogeneous network which could handle this data and make the real-time systems work intelligently. IoT applications leads to increasing demands in high traffic volume, M2M communications, low latency, and MIMO operations. Mobile communication has evolved from 2G voice services into a complex, interconnected environment with multiple services built on a system that supports innumerable applications and provides high-speed access. Hence the sustainability of the IoT applications do rely on next generation networks. Due to the significant increase in the network components, computational complexity, and heterogeneity of resources, there arise the need for a secure architectural framework for internet of things. For this, the authors propose a secure architectural framework for IoT that provides a solution to the lightweight devices with low computational complexity.

IOT MODEL WITH MULTIMODAL NODE ALLOCATION AND THE METHOD OF USING MOBILE HEAD NODES FOR DATA COLLECTION

2021 ◽  
Author(s):  
Д.М. ВОРОБЬЕВА ◽  
А.И. ПАРАМОНОВ ◽  
А.Е. КУЧЕРЯВЫЙ
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Heterogeneous Network ◽  
Clustering Algorithm ◽  
Service Area ◽  
The Internet ◽  
Multimodal Distribution ◽  
Dbscan Clustering ◽  
Head Node ◽  
The Internet Of Things

Рассмотрена задача организации движения головных узлов (ГУ) в сети интернета вещей (ИВ) при неоднородном (мультимодальном) распределении узлов в зоне обслуживания. Предложен метод кластеризации неоднородной сети, позволяющий выделить кластеры (отличающиеся плотностью узлов) и выбирать скорость движения ГУ в соответствии с плотностью в каждом кластере. Метод основан на использовании алгоритма кластеризации DBSCAN, позволяет повысить эффективность использования подвижных ГУ и может быть применен при организации сбора данных в сети ИВ. The paper is devoted to the problem of organizing the movement of head nodes in the Internet of Things (IoT) network with a heterogeneous (multimodal) distribution of nodes in the service area. A method for clustering a heterogeneous network is proposed, which makes it possible to distinguish clusters that differ in the density of nodes and select the speed of movement of the head node in accordance with the density in each cluster. The proposed method is based on the use of the DBSCAN clustering algorithm and makes it possible to increase the efficiency of the use of mobile head nodes. The method can be applied in organizing data collection in the IoT network.

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