The International Journal of Communication Systems publishes research papers on public and private communication technology systems. This communications journal welcomes submissions that provide in-depth analyses of research and development work, emerging communications trends, and practical applications of communication technologies. Our authors and readers include telecommunications researchers, technical managers, and communications and television engineers.

 

Articles

RESEARCH ARTICLE

An energy‐efficient method using PSO clustering and fuzzy routing to reduce energy consumption in IoT

  •  19 June 2024

Graphical Abstract

Description unavailable

The proposed algorithm first organizes the nodes into logical cells and selects nodes in each cell as the cluster head. Then, each node sends its collected data to the cluster head. The cluster heads use a fuzzy method to send the data to the base station. The proposed method is simulated in ns2 software, and for a more accurate evaluation, we compare it with other algorithms. We see that the proposed method performs better than other methods.

RESEARCH ARTICLE

Hybrid Salp Swarm and Improved Whale Optimization Algorithm‐based clustering scheme for improving network lifespan in wireless sensor networks

  •  19 June 2024

Graphical Abstract

Description unavailable

Proposed HSSIWOA-CS scheme

  • Hybrid Salp Swarm and Improved Whale Optimization Algorithm (HSSIWOA)-based clustering scheme integrated the exploration capability of Salp Swarm Optimization Algorithm (SSOA) with exploitation benefits of Improved Whale Optimization Algorithm (IWOA) for balancing the trade-off between the rate of exploration and exploitation during CH selection process.
  • It utilized the parameters of residual energy, load balance, intra-cluster distance, inter-cluster distance, and node centrality into account during the process of fitness evaluation.
  • The experimental results of the proposed HSSIWOA scheme confirmed extended network lifetime of 21.64%, minimized energy utilization of 23.42%, and maximized throughput of 18.56%, better than the baseline approaches.

RESEARCH ARTICLE

Outage and average sum-rate analysis of intelligent reflecting surface assisted nonorthogonal multiple access system over ημ$$ \eta -\mu $$ fading channel

  •  19 June 2024

Graphical Abstract

Description unavailable

In this research, an IRS-NOMA system is explored over η μ $$ \eta -\mu $$ fading channel, where IRS is placed on top of the base station (BS). IRS aids in fine-tuning the phase of incoming signal from BS in a meticulous way, which improves the performance of the system. We propose a statistical channel model for the considered system. Further, OP and average sum-rate analytical expressions are derived by considering K $$ (K) $$ users. Furthermore, the outcomes of the proposed system are compared with IRS-OMA and traditional relaying techniques.

RESEARCH ARTICLE

Enhancing wireless sensor network connectivity and coverage using Hybrid GWO‐HSA algorithm

  •  17 June 2024

Graphical Abstract

Description unavailable

The proposed Hybrid GWO-HSA system integrates Grey Wolf Optimizer (GWO) and Harmony Search Algorithm (HSA) to enhance coverage and connectivity in wireless sensor networks (WSNs). Simulations demonstrate its effectiveness, achieving competitive network lifetime up to 13,200 s, network delay of 37 ms, coverage rate of 0.88, and energy consumption of 590 J compared to existing methods like PSO-VDCOA, LEBH, and DPER.

RESEARCH ARTICLE

Network simulation tools for unmanned aerial vehicle communications: A survey

  •  17 June 2024

Graphical Abstract

Description unavailable

In this survey, existing UAV network simulation tools are divided into four categories in this survey, namely, UAV simulators, network simulators, channel emulators, and co-simulation platforms.

More articles

The following is a list of the most cited articles based on citations published in the last three years, according to CrossRef.

Internet of Things

  •  1101-1102
  •  29 August 2012
No abstract is available for this article.

Detection and defense of DDoS attack–based on deep learning in OpenFlow-based SDN

  •  8 January 2018

Graphical Abstract

Description unavailable

This paper introduces a DDoS detection model and defense system based on deep learning in Software Defined Network (SDN) environment. The model can learn patterns from sequences of network traffic and trace network attack activities in a historical manner. The experimental results demonstrate the much better performance of our model compared with conventional machine learning ways. Moreover, the implemented defense system based on the model can effectively clean the DDoS attack traffic.

Novel methods for energy charging and data collection in wireless rechargeable sensor networks

  •  10 September 2015

Graphical Abstract

Description unavailable

We study the problem of scheduling minimum mobile devices to periodically recharge and collect data from sensors subject to the limited charging range, electric capacity, and memory storage, such that the network lifetime can be guaranteed to be prolonged without limits. For the problem, several algorithms are proposed to find a set of anchor points and schedule minimum mobile devices to visit the generated anchor points. Simulation results show that our proposed methods provide good performance.

A novel dynamic clustering approach for energy hole mitigation in Internet of Things‐based wireless sensor network

  •  10 April 2021

Graphical Abstract

Description unavailable

The dynamic clustering is proposed to alleviate energy hole problem. As the sink is placed outside the network, the one gateway node (GN) is located in each half of the network area. In each cluster, two CHs are selected, only one is active at one moment. However, when the energy of active CH drops by 60% of its initial energy, it goes to sleep mode. This process is repeated till both nodes come to the same level of energy. Thereafter, only one CH becomes active and other becomes cluster member. The selection of CH and GN is done based on energy, distance, number of neighbour nodes and network's residual energy.

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