An Overlay Routing Algorithm Based on QoS for Internet of Things

Author(s):  
Jun Tao ◽  
Huihui Zhao
2019 ◽  
Vol 01 (01) ◽  
pp. 42-61
Author(s):  
Jennifer S. Raj ◽  
Alphina Stephy S

The development in the area of networking is Internet of Things (IoT). This will interrelated the object and things together. The realization of IoT subsystems will be subjected to numerous constraints that include cost, power, energy, and lifetime. However, most challenging requirement will be trust. It is widely recognized that the attacks from malicious parties can activate from Internet to the physical word. Hence, trust of IoT is of essential importance. Therefore, trust management is considered as a efficient solution to IoT related issues. Trust management has useful technology for providing security service and it has been used in many applications such as P2P, Grid, adhoc network and so on. Thus the trust based routing algorithm in Internet of Things is proposed for providing a potential security system. With this, the major focus on the problem of trust on the malicious nodes in any environment.


2017 ◽  
Vol 4 (3) ◽  
pp. 1-16 ◽  
Author(s):  
Amol V. Dhumane ◽  
Rajesh S. Prasad ◽  
Jayashree R. Prasad

In Internet of things and its relevant technologies the routing of data plays one of the major roles. In this paper, a routing algorithm is presented for the networks consisting of smart objects, so that the Internet of Things and its enabling technologies can provide high reliability while the transmitting the data. The proposed technique executes in two stages. In first stage, the sensor nodes are clustered and an optimal cluster head is selected by using k-means clustering algorithm. The clustering is performed based on energy of sensor nodes. Then the energy cost of the cluster head and the trust level of the sensor nodes are determined. At second stage, an optimal path will be selected by using the Genetic Algorithm (GA). The genetic algorithm is based on the energy cost at cluster head, trust level at sensor nodes and path length. The resultant optimal path provides high reliability, better speed and more lifetimes.


Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 791 ◽  
Author(s):  
Liviu-Adrian Hîrţan ◽  
Ciprian Dobre ◽  
Horacio González-Vélez

A disruptive technology often used in finance, Internet of Things (IoT) and healthcare, blockchain can reach consensus within a decentralised network—potentially composed of large amounts of unreliable nodes—and to permanently and irreversibly store data in a tamper-proof manner. In this paper, we present a reputation system for Intelligent Transportation Systems (ITS). It considers the users interested in traffic information as the main actors of the architecture. They securely share their data which are collectively validated by other users. Users can choose to employ either such crowd-sourced validated data or data generated by the system to travel between two locations. The data saved is reliable, based on the providers’ reputation and cannot be modified. We present results with a simulation for three cities: San Francisco, Rome and Beijing. We have demonstrated the impact of malicious attacks as the average speed decreased if erroneous information was stored in the blockchain as an implemented routing algorithm guides the honest cars on other free routes, and thus crowds other intersections.


2013 ◽  
Vol 11 (4) ◽  
pp. 578-585 ◽  
Author(s):  
G. Li ◽  
D.G. Zhang ◽  
K. Zheng ◽  
X.C. Ming ◽  
Z.H. Pan ◽  
...  

2014 ◽  
Vol 687-691 ◽  
pp. 4004-4008
Author(s):  
Xing Hua Lu

In the logistics system, the Internet of things information transmission problem is researched. The ZigBee, 3G technologies are fused in the radio frequency identification (RFID), a set of logistics networking platform is designed based on 3G-ZigBee, with the functions such as multipoint automatic identification, real-time positioning, wireless network and RFID. The logistics system is designed, the routing algorithm of logistics system is analyzed, the improved LEACH algorithm is proposed, the NS component is used for the simulation analysis. Through the simulation results, the best balance point between energy consumption and network density is obtained, the parameters of the logistics system are optimized. Finally, software design idea and workflow are presented, the purpose of the remote control is achieved.


Internet of Things (IoT) constitutes a network of various devices has an equipment with the mandatory facility of communication and optional facilities of sensing, information collecting, storage and processing. IoT network has been used for research and development purpose in many application areas such as military environment, traffic management, and e-healthcare system. IoT network was enormous in scale and complexity, mainly in terms of energy efficiency because battery lifetime is limited. The previous routing protocols for IoT are difficult and require a huge memory use and high energy consumption which are insufficient for IoT network processing. For that reason, an efficient routing algorithm needed to decrease energy consumption while communication. To tackle this problem, this paper proposes Less Energy Consumption Routing (LECR) algorithm. This algorithm reduces energy consumption using 4 ways in IoT, (1) Sleep and Wake up Scheduling, (2) Route Discovery in IoT Base Station (3) Less Power Consumption Route for Communication (4) Reduce Overhead while Routing. The experimental result proves the LECR algorithm reduces IoT devices battery drain and increases lifetime of the IoT network efficiently


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