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All Journal International Journal of Electrical and Computer Engineering
Sidi Mohammed Hadj Irid
University of Tlemcen
Computer Science & IT Electrical & Electronics Engineering

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Spectrum Sensing with VSS-NLMS Process in Femto/Macro-cell Environments Sidi Mohammed Hadj Irid; Mohammed Hicham Hachemi; Haroun Errachid Adardour; Mourad Hadjila
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.578 KB) | DOI: 10.11591/ijece.v8i6.pp5185-5194

Abstract

Handover is a process that allows a mobile node to change its attachment point. A mobile node connected to a network can, in order to improve the quality of service, have the need to leave it to connect to a cell either of the same network or of a new network. The present paper introduce three techniques using adaptive Variable Step-Size Least Mean Square (VSSLMS) filter combined with spectrum sensing probability method to detect the triggering of handover in heterogeneous LTE networks. These techniques are Normalized LMS (NLMS), Kwong-NLMS and Li-NLMS. The simulation environment is composed of two femtocells belonging to a macrocell. Five User Equipements (UEs) are positioned in one femtocell and are assumed closest to its circumference. Simulation results show that sensing probability with Li-NLMS algorithm has a better performance compared with classical NLMS and Kwong-NLMS.
Clustered chain founded on ant colony optimization energy efficient routing scheme for under-water wireless sensor networks Djilali Moussaoui; Mourad Hadjila; Sidi Mohammed Hadj Irid; Sihem Souiki
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 6: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i6.pp5197-5205

Abstract

One challenge in under-water wireless sensor networks (UWSN) is to find ways to improve the life duration of networks, since it is difficult to replace or recharge batteries in sensors by the solar energy. Thus, designing an energy-efficient protocol remains as a critical task. Many cluster-based routing protocols have been suggested with the goal of reducing overall energy consumption through data aggregation and balancing energy through cluster-head rotation. However, the majority of current protocols are concerned with load balancing within each cluster. In this paper we propose a clustered chain-based energy efficient routing algorithm called CCRA that can combine fuzzy c-means (FCM) and ant colony optimization (ACO) create and manage the data transmission in the network. Our analysis and results of simulations show a better energy management in the network.
Co-Authors Djilali Moussaoui Haroun Errachid Adardour Mohammed Hicham Hachemi Mourad Hadjila Sihem Souiki