Mendeley
TY  _  JOUR
ID  -  13990908250980
TI  -  Energy Efficient Routing-Based Clustering Protocol Using Computational Intelligence Algorithms in Sensor-Based IoT
JO  -  Journal of Information Systems and Telecommunication (JIST) 
JA  -  ES
LA  -  en
SN  -  2322-1437
AU  -  صدیقی منش محمد
AU  -  Zandhessami Hessam 
AU  -  Alborzi Mahmood 
AU  -  Khayyatian Mohammadsadegh 
AD  -  Science and Research branch, Islamic Azad University
AD  -  Science and Research branch, Islamic Azad University
AD  -  Science and Research branch, Islamic Azad University
AD  -  shahid Beheshti university
Y1  -  2021
PY  -  2021
VL  -  33
IS  -  9
SP  -  55
EP  -  66
KW  -  Sensor-based IoT
KW  -   Clustering and Routing
KW  -   Type-1 and type-2 Fuzzy Algorithms
KW  -   Computational Intelligence Techniques
DO  -  
N2  -  Background: The main limitation of wireless IoT sensor-based networks is their energy resource, which cannot be charged or replaced because, in most applications, these sensors are usually applied in places where they are not accessible or rechargeable. Objective: The present article's main objective is to assist in improving energy consumption in the sensor-based IoT network and thus increase the network’s lifetime. Cluster heads are used to send data to the base station. Methods: In the present paper, the type-1 fuzzy algorithm is employed to select cluster heads, and the type-2 fuzzy algorithm is used for routing between cluster heads to the base station. After selecting the cluster head using the type-1 fuzzy algorithm, the normal nodes become the members of the cluster heads and send their data to the cluster head, and then the cluster heads transfer the collected data to the main station through the path which has been determined by the type-2 fuzzy algorithm. Results: The proposed algorithm was implemented using MATLAB simulator and compared with LEACH, DEC, and DEEC protocols. The simulation results suggest that the proposed protocol among the mentioned algorithms increases the network’s lifetime in homogeneous and heterogeneous environments.
Conclusion: Due to the energy limitation in sensor-based IoT networks and the impossibility of recharging the sensors in most applications, the use of computational intelligence techniques in the design and implementation of these algorithms considerably contributes to the reduction of energy consumption and ultimately the increase in network’s lifetime.

UR  - rimag.ir/fa/Article/15641
L1  - rimag.ir/fa/Article/Download/15641
ER  -  
