Dr-Muhammad Aslam

Dr-Muhammad Aslam
Wuhan University | WHU · school of cyber science and engineering

Doctor of Engineering

About

43
Publications
8,487
Reads
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478
Citations
Introduction
Dr. Muhammad Aslam is currently working as Postdoctoral research scholar at School of Cyber Science and Engineering of Wuhan University, Wuhan China. Earlier, He received his PhD Degree from School of Computer Science and technology, Dalian University of Technology, Dalian, China under supervision of Professor Xiaopeng Hu. Previously, I have also received my MS degree from the Department of Electrical Engineering (Networking) at COMSATS University Islamabad, Islamabad, Pakistan.

Publications

Publications (43)
Article
Full-text available
Climber–abiotic parameter interactions can have important ramifications for ecosystem’s functions and community dynamics, but the extent to which these abiotic factors influence the spatial distributions of climber communities in the western Himalayas is unknown. The purpose of this study was to examine the taxonomic diversity, richness, and distri...
Article
Full-text available
Climber–abiotic parameter interactions can have important ramifications for ecosystem’s functions and community dynamics, but the extent to which these abiotic factors influence the spatial distributions of climber communities in the western Himalayas is unknown. The purpose of this study was to examine the taxonomic diversity, richness, and distri...
Article
Full-text available
The significance of edaphic factors in describing forest vegetation patterns is becoming more well acknowledged, with significant implications for the description of biogeographical regions and biome classification, as well as abundance and growth patterns at regional levels. The current study examines the vegetation association in the Zabarwan mou...
Article
Full-text available
Climate change is likely to have serious social, economic, and environmental impacts on farmers whose subsistence depends on nature. Land Use Land Cover (LULC) changes were examined as a significant tool for assessing changes at diverse temporal and spatial scales. Normalized Difference Vegetation Index (NDVI) has the potential ability to signify t...
Article
Full-text available
The performance of Internet of Things (IoT)‐based Wireless Sensor Networks (WSNs) depends on the routing protocol and the deployment technique in modern applications. In a plethora of IoT‐WSNs applications, the IoT nodes are essential equipment to prolong the network lifetime with limited resources. Data similarity‐based clustering protocols exploi...
Article
Full-text available
The development of smart network infrastructure of the Internet of Things (IoT) faces the immense threat of sophisticated Distributed Denial-of-Services (DDoS) security attacks. The existing network security solutions of enterprise networks are significantly expensive and unscalable for IoT. The integration of recently developed Software Defined Ne...
Article
Full-text available
The purpose of this study was to investigate the taxonomic diversity, richness, and distribution patterns of Poaceae in relation to abiotic factors in the Jhelum district of the Pakistan Himalayas. We used a random sampling technique from 80 grids within 240 sites with a rich diversity of wild grasses and 720 quadrates in triplets from each site ac...
Article
Full-text available
Images gathered from different satellites are vastly available these days due to the fast development of remote sensing (RS) technology. These images significantly enhance the data sources of change detection (CD). CD is a technique of recognizing the dissimilarities in the images acquired at distinct intervals and are used for numerous application...
Article
Full-text available
Federated Learning (FL) is a promising technique for collaboratively training machine learning models on massively distributed clients data under privacy constraints. However, the existing FL literature focuses on speeding-up the learning process and ignores minimizing the communication cost which is critical for resource-constrained clients. To th...
Article
Federated Learning (FL) is an emerging technique for collaboratively training machine learning models on distributed data under privacy constraints. However, recent studies have shown that FL significantly consumes plenty of communication resources during the global model update. In addition, participants' private data can also be compromised by ex...
Conference Paper
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Applications of Machine Learning (ML) algorithms in the field of cyber security provide significant performance enhancement over traditional rule-based algorithms. These intelligent cyber security solutions demand careful integration of the learning algorithms to develop an effective cyber incident detection system to formulate the industrial level...
Chapter
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Advancements of Internet of Things (IoT) enhance the application spectrum of smart networking and demand intelligent security measurements against cyber-attacks. Recent integration of Software Defined Networking (SDN) in IoT environments provides better network management by decoupling of control plane from forwarding plane. An advanced SDN based n...
Conference Paper
Full-text available
Smart networking environments are equipped with Internet of Things (IoT) devices which are facing the threat of a large number of sophisticated cyber-attacks. Existing security solutions of conventional enterprise networks are significantly expensive and unscalable for IoT devices due to limited hardware and software resources. Integration of Softw...
Article
Full-text available
The central intelligence offered by Software Defined Networking (SDN) promise the smart and reliable reconfiguration which enables the scalability of dynamic enterprise networks. The decoupled forwarding plane and control plane of SDN infrastructure is a key feature that supports the SDN controller to extract the physical network topology informati...
Preprint
Full-text available
In the era of advanced technologies, mobile devices are equipped with computing and sensing capabilities that gather excessive amounts of data. These amounts of data are suitable for training different learning models. Cooperated with advancements in Deep Learning (DL), these learning models empower numerous useful applications, e.g., image process...
Conference Paper
Full-text available
In the era of advanced technologies, mobile devices are equipped with computing and sensing capabilities that gather excessive amounts of data. These amounts of data are suitable for training different learning models. Cooperated with advancements in Deep Learning (DL), these learning models empower numerous useful applications, e.g., image process...
Conference Paper
Modern applications of Internet of Things (IoT) demand efficient routing protocols to exchange the huge amount of information among deployed nodes and control stations. Existing routing protocols have achieved some reliability and energy-efficiency but more improvements are needed to develop industrial level solutions. In this paper we propose Mult...
Thesis
Full-text available
Scalable and energy-aware routing protocol is very essential for Wireless Sensor Networks (WSNs) in order to increase the network lifetime. Nodes of WSNs have limited battery resources and it is observed that execution of heterogeneity aware clustering routing protocols in terms of energy utilizes such resources effectively. Heterogeneity-aware clu...
Article
Full-text available
In this paper, we propose a new internet of things (IoT) enabled multi adaptive clustering (MAC) energy efficient routing protocol for wireless sensor networks (WSNs) to minimise energy dissipation and improve the network performance. This new technique holds the hybrid cluster formation algorithm in which the network topology is divided in two reg...
Article
Full-text available
Extending the operational duration is a major field of interest in Wireless Sensor Networks (WSNs). This lifetime enhancement task challenges researchers to design an energy efficient traffic engineering which minimizes the dissipation energy and retain the expected quality of routing protocols. Network lifetime can be prolonged by balancing the en...
Conference Paper
Full-text available
Wireless Sensor Network (WSN) is an exceptional network which gather information from certain area of applications. Major factor in WSNs is the reliability for transmission of data from source to destination. Constructing path for multi-hop routing and continuous updates of energy level can maximize the lifetime and improve the reliability in the n...
Article
Full-text available
In this paper, we propose a new Internet of Things (IoT) enabled multi adaptive clustering (MAC) energy efficient routing protocol for wireless sensor networks (WSNs) to minimise energy dissipation and improve the network performance. This new technique holds the hybrid cluster formation algorithm in which the network topology is divided in two reg...
Article
Full-text available
Wireless Sensor Networks (WSNs) have led to tremendous growth in the development of sensor technology and offer numerous applications, such as wildlife monitoring, environment, healthcare, military surveillance and security systems. In terms of performance, the evolutions of WSN routing protocols play a vital role in extending the lifetime of netwo...
Article
Full-text available
Recently, Wireless Sensor Networks (WSNs) are getting more fame because of low cost and easy to manage and maintain. WSNs consists of sensor nodes and a Base Station (BS). Sensor nodes are responsible to sense, transmit and receive the data packets from sensing field, and the BS is responsible to collect this data and covert it into readable form....
Article
Full-text available
Smart reconfiguration of a dynamic networking environment is offered by the central control of Software-Defined Networking (SDN). Centralized SDN-based management architectures are capable of retrieving global topology intelligence and decoupling the forwarding plane from the control plane. Routing protocols developed for conventional Wireless Sens...
Article
Full-text available
Effective utilization of energy resources in Wireless Sensor Networks (WSNs) has become challenging under uncertain distributed cluster-formation and single-hop intercluster communication capabilities. So, sensor nodes are forced to operate at expensive full rate transmission power level continuously during whole network operation. These challengin...
Conference Paper
Full-text available
Designing and practical implementation of energy efficient routing protocol is always a major concern for researchers in Wireless Sensor Networks (WSNs). In the past decade various energy efficient clustering routing protocols are designed to overcome this issue. Clustered base path planning technique is widely used in both homogeneous and heteroge...
Conference Paper
Full-text available
In this paper, we purpose Energy Efficient logical Cubical layered Path Planning Algorithm (EECPPA) and Multiple Sink EECPPA (MSEECPPA) for acoustic 3D Under Water Sensor Networks (UWSNs). EECPPA and MSEECPPA algorithms are completely distributed and highly adoptive in their execution in logical divided 3D networks into multiple cubes. Proposed mod...
Article
Centralized clustering routing schemes promise significant network stability by centralized energy-efficient path planning that prominently share computational burden of monitoring devices of Wireless Sensor Networks (WSNs). Scalability and adaptiveness of WSNs present vital challenges for researchers to design a power-aware, well-organized routing...
Article
Full-text available
This paper presents estimation of tropospheric scintillation based on ITU-R model from previous 10 years meteorological data. Scintillation As(p) is critical in designing of microwave links for achieving optimal performance. There are many phenomenons that cause degradation to signal during transmission through the earth's atmosphere one of them is...
Article
Designing a power-aware, well-organized path planning algorithm is one of the most challenging research issue in Wireless Sensor Networks (WSNs). During investigation and tackling of these challenges, multi-type energy efficient path planning algorithms have been proposed. In this regards, cluster-based path planning algorithms have shown significa...
Conference Paper
In order to increase the network lifetime, scalable and energy-aware routing protocols are very essential for Wireless Sensor Networks (WSNs). In this paper, we propose a heterogeneity-aware Multi-hop Centralized Energy Efficient Clustering (MCEEC) protocol for routing in WSNs. Operation of MCEEC is based upon the advanced central control algorithm...
Conference Paper
In this paper, we propose an Application-aware Threshold-based Centralized Energy Efficient Clustering (ATCEEC) protocol for routing in Wireless Sensor Networks (WSNs). The proposed protocol assumes that each wireless sensor (node) is capable of sensing two types of environmental dynamics; temperature and humidity. Operation of ATCEEC is based on a...
Conference Paper
Full-text available
Designing and development of energy effective path planning algorithm is very key research domain in order to tackle the issues of limited life-time for Wireless Sensor Networks (WSNs). So in WSNs, energy efficiency is major concern of researchers. Overall advancement in routing protocols prove that clustering is much better approach as compared to...
Article
An energy efficient routing protocol is the major attentiveness for researcher in field of Wireless Sensor Networks (WSNs). In this paper, we present some energy efficient hierarchal routing protocols, prosper from conventional Low Energy Adaptive Clustering Hierarchy (LEACH) routing protocol. Fundamental objective of our consideration is to analyz...
Article
In this paper, we present a comprehensive study of Medium Access Control (MAC) protocols developed for Wireless Body Area Networks (WBANs). In WBANs, small batteryoperated on-body or implanted biomedical sensor nodes are used to monitor physiological signs such as temperature, blood pressure, ElectroCardioGram (ECG), ElectroEncephaloGraphy (EEG) et...
Article
Energy efficient routing protocol for Wireless Sensor Networks (WSNs) is one of the most challenging task for researcher. Hierarchical routing protocols have been proved more energy efficient routing protocols, as compare to flat and location based routing protocols. Heterogeneity of nodes with respect to their energy level, has also added extra li...
Article
Extensive energy is consumed by Transceiver communication operation [1]. Existing research on MAC layer focuses to maximize battery-powered sensor node's life. Bottleneck of MAC layer protocol design for WBAN is to achieve high reliability and energy minimization. Majority of MAC protocols designed for WBANs are based upon TDMA approach. However, a...
Article
Full-text available
An energy efficient routing protocol is the major concern in Wireless Sensor Networks (WSNs). In this survey paper, we present energy efficient hierarchical routing protocols, developed from conventional LEACH routing protocol. Main focus of our study is how these extended protocols work in order to increase the life time and how quality routing pr...
Conference Paper
Wireless sensor networks are basically used for monitoring and sensing of environments and used both for civil and military applications. It consists of small devices called sensors (nodes). Each sensor has a limited battery power and once deployed, become inaccessible to user, and thus replacement of energy source becomes infeasible. There are dif...

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