Muhammad Qasim Khan¹, Fazal Malik¹, Fahad Alturise^2,*, Noor Rahman³

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 123-153, 2025, DOI:10.32604/cmes.2024.057272 - 17 December 2024

Abstract Control signaling is mandatory for the operation and management of all types of communication networks, including the Third Generation Partnership Project (3GPP) mobile broadband networks. However, they consume important and scarce network resources such as bandwidth and processing power. There have been several reports of these control signaling turning into signaling storms halting network operations and causing the respective Telecom companies big financial losses. This paper draws its motivation from such real network disaster incidents attributed to signaling storms. In this paper, we present a thorough survey of the causes, of the signaling storm problems More >

Abdulwadood Alawadhi^1,*, Mohd. Hasbullah Omar¹, Abdullah Almogahed², Noradila Nordin³, Salman A. Alqahtani⁴, Atif M. Alamri⁵

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2851-2878, 2024, DOI:10.32604/cmc.2024.050154 - 15 May 2024

Abstract The increased adoption of Internet of Medical Things (IoMT) technologies has resulted in the widespread use of Body Area Networks (BANs) in medical and non-medical domains. However, the performance of IEEE 802.15.4-based BANs is impacted by challenges related to heterogeneous data traffic requirements among nodes, including contention during finite backoff periods, association delays, and traffic channel access through clear channel assessment (CCA) algorithms. These challenges lead to increased packet collisions, queuing delays, retransmissions, and the neglect of critical traffic, thereby hindering performance indicators such as throughput, packet delivery ratio, packet drop rate, and packet delay.… More >

Huixiang Xu^*

CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 2309-2335, 2024, DOI:10.32604/cmc.2024.046253 - 27 February 2024

Abstract The Internet of Things (IoT) has revolutionized how we interact with and gather data from our surrounding environment. IoT devices with various sensors and actuators generate vast amounts of data that can be harnessed to derive valuable insights. The rapid proliferation of Internet of Things (IoT) devices has ushered in an era of unprecedented data generation and connectivity. These IoT devices, equipped with many sensors and actuators, continuously produce vast volumes of data. However, the conventional approach of transmitting all this data to centralized cloud infrastructures for processing and analysis poses significant challenges. However, transmitting… More >

Abida Sharif¹, Muhammad Imran Sharif¹, Muhammad Attique Khan², Nisar Ali², Abdullah Alqahtani³, Majed Alhaisoni⁴, Ye Jin Kim⁵, Byoungchol Chang^6,*

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 2383-2396, 2023, DOI:10.32604/cmc.2023.033894 - 31 March 2023

Abstract The content-centric networking (CCN) architecture allows access to the content through name, instead of the physical location where the content is stored, which makes it a more robust and flexible content-based architecture. Nevertheless, in CCN, the broadcast nature of vehicles on the Internet of Vehicles (IoV) results in latency and network congestion. The IoV-based content distribution is an emerging concept in which all the vehicles are connected via the internet. Due to the high mobility of vehicles, however, IoV applications have different network requirements that differ from those of many other networks, posing new challenges. More >

Hye-Min Kwon¹, Seng-Phil Hong², Mingoo Kang¹, Jeongwook Seo^1,*

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1769-1780, 2022, DOI:10.32604/cmc.2022.020027 - 07 September 2021

Abstract To provide Artificial Intelligence (AI) services such as object detection, Internet of Things (IoT) sensor devices should be able to send a large amount of data such as images and videos. However, this inevitably causes IoT networks to be severely overloaded. In this paper, therefore, we propose a novel oneM2M-compliant Artificial Intelligence of Things (AIoT) system for reducing overall data traffic and offering object detection. It consists of some IoT sensor devices with random sampling functions controlled by a compressed sensing (CS) rate, an IoT edge gateway with CS recovery and domain transform functions related… More >