Dr. Ansar Munir Shah

@usp.edu.pk

Associate Professor
Institute of Southern Punjab

Dr. Ansar Munir Shah
Dr. Ansar Munir Shah is currently working as Associate Professor at ISP Multan. I am HEC approved supervisor for PhD and Head of SAR, Assessment and Evaluation as well as Curriculum Committee in ISP. My PhD is in Computer Science from University of Technology Phenom Penh , Cambodia. I am glad being a professional teacher and researcher in computer science Field. My career start from EM&E College (NUST) , Rawalpindi . After that I joined King Khalid University, Abha, Saudi Arabia and teach graduate students. Being valuable and active member of different committees, I won many prizes and shields in KKU. After 7 year teaching at KKU , I started my PhD. After completion of my PhD, I have joined ISP and started my professional career. I am teaching to graduate and undergraduate level students as well as supervising research students. I taught courses in computer networks and communication, Advance Computer Networks, Complex Networks, Cyber Security, Mobile Computing, Parallel and dist

EDUCATION

 Ph.D., Computer Science
2015 – 2018
IIC University of Technology , phnom penh, Cambodia
Thesis: 3-Tier Energy-efficient& priority model (3EEPM) for e-health WBAN
 MSCS., Computer Networks
2014 – 2015
Virtual University Islamabad
 MSCS., Computer Science
2005 – 2007
Federal Urdu University of Arts, Science and Technology, Islamabad
 PGD., Computer Science
1999 – 2000

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Networks and Communications, Computer Science Applications, Sensory Systems
16

Scopus Publications

Scopus Publications

  • eHealth-WBAN: a study of IEEE 802.15.6 and IEEE 802.15.4 based MAC protocols
    Ansar Munir Shah, Amna Gibreel Abunsibb
    Journal of Medical Engineering and Technology, 2026
    Wireless Body Area Networks (WBANs) are vital for real-time health monitoring in eHealth systems. This article presents a comprehensive comparative analysis of MAC protocols based on IEEE 802.15.6 and IEEE 802.15.4 standards, with a focus on energy efficiency, latency, reliability, and emergency data handling. We critically examine superframe structures, access mechanisms, and adaptive MAC designs, and introduce a five-dimensional framework for protocol evaluation. Our study identifies key limitations in existing solutions-such as lack of support for emergency traffic and mobility adaptation-and outlines future research directions for developing intelligent, QoS-aware, and energy-efficient MAC protocols tailored to heterogeneous WBAN environments.
  • Big Data Meets Jugaad: Cultural Innovation Strategies for Sustainable Performance in Resource-Constrained Developing Economies
    Xuemei Liu, Assad Latif, Mohammed Maray, Ansar Munir Shah, Muhammad Ramzan
    Sustainability Switzerland, 2025
    This study investigates the role of Big Data Analytics Capabilities (BDACs) in ambidexterity explorative innovation (EXPLRI) and exploitative (EXPLOI) innovation for achieving a sustainable performance (SP) in the manufacturing sector of a resource-constrained developing economy. While a BDAC has been widely linked to innovation in developed economies, its effectiveness in developing contexts shaped by indigenous innovation practices like Jugaad remains underexplored. Anchored in the Resource-Based View (RBV) and Dynamic Capabilities (DC) theory, we propose a model where the BDAC enhances both EXPLRI and EXPLOI, which subsequently leads to an improved sustainable performance. We further examine the Jugaad capability as a cultural moderator. Using survey data from 418 manufacturing firms and analyzed via Partial Least Squares Structural Equation Modeling (PLS-SEM), results confirm that BDA capabilities significantly boost both types of innovations, which positively impact sustainable performance dimensions. Notably, Jugaad positively moderates the relationship between EXPLOI and financial, innovation, and operational performance but negatively moderates the link between EXPLRI and innovation performance. These findings highlight the nuanced influence of culturally embedded innovation practices in BDAC-driven ecosystems. This study contributes by extending the RBV–DC framework to include cultural innovation capabilities and empirically validating the contingent role of Jugaad in enhancing or constraining innovation outcomes. This study also validated the Jugaad capability measurement instrument for the first time in the context of Pakistan. For practitioners, aligning data analytics strategies with local innovative cultures is vital for sustainable growth in emerging markets.
  • Efficient Energy and Delay Reduction Model for Wireless Sensor Networks
    Arslan Iftikhar, M. A. Elmagzoub, Ansar Munir, Hamad Abosaq Al Salem, Mahmood ul Hassan, Jarallah Alqahtani, Asadullah Shaikh
    Computer Systems Science and Engineering, 2023
    In every network, delay and energy are crucial for communication and network life. In wireless sensor networks, many tiny nodes create networks with high energy consumption and compute routes for better communication. Wireless Sensor Networks (WSN) is a very complex scenario to compute minimal delay with data aggregation and energy efficiency. In this research, we compute minimal delay and energy efficiency for improving the quality of service of any WSN. The proposed work is based on energy and distance parameters as taken dependent variables with data aggregation. Data aggregation performs on different models, namely Hybrid-Low Energy Adaptive Clustering Hierarchy (H-LEACH), Low Energy Adaptive Clustering Hierarchy (LEACH), and Multi-Aggregator-based Multi-Cast (MAMC). The main contribution of this research is to a reduction in delay and optimized energy solution, a novel hybrid model design in this research that ensures the quality of service in WSN. This model includes a whale optimization technique that involves heterogeneous functions and performs optimization to reach optimized results. For cluster head selection, Stable Election Protocol (SEP) protocol is used and Power-Efficient Gathering in Sensor Information Systems (PEGASIS) is used for driven-path in routing. Simulation results evaluate that H-LEACH provides minimal delay and energy consumption by sensor nodes. In the comparison of existing theories and our proposed method, H-LEACH is providing energy and delay reduction and improvement in quality of service. MATLAB 2019 is used for simulation work.
  • ILSM: Incorporated Lightweight Security Model for Improving QOS in WSN
    Ansar Munir Shah, Mohammed Aljubayri, Muhammad Faheem Khan, Jarallah Alqahtani, Mahmood ul Hassan, Adel Sulaiman, Asadullah Shaikh
    Computer Systems Science and Engineering, 2023
    In the network field, Wireless Sensor Networks (WSN) contain prolonged attention due to afresh augmentations. Industries like health care, traffic, defense, and many more systems espoused the WSN. These networks contain tiny sensor nodes containing embedded processors, Tiny OS, memory, and power source. Sensor nodes are responsible for forwarding the data packets. To manage all these components, there is a need to select appropriate parameters which control the quality of service of WSN. Multiple sensor nodes are involved in transmitting vital information, and there is a need for secure and efficient routing to reach the quality of service. But due to the high cost of the network, WSN components have limited resources to manage the network. There is a need to design a lightweight solution that ensures the quality of service in WSN. In this given manner, this study provides the quality of services in a wireless sensor network with a security mechanism. An incorporated hybrid lightweight security model is designed in which random waypoint mobility (RWM) model and grey wolf optimization (GWO) is used to enhance service quality and maintain security with efficient routing. MATLAB version 16 and Network Stimulator 2.35 (NS2.35) are used in this research to evaluate the results. The overall cost factor is reduced at 60% without the optimization technique and 90.90% reduced by using the optimization technique, which is assessed by calculating the signal-to-noise ratio, overall energy nodes, and communication overhead.
  • Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks
    Muhammad Shahzeb Ali, Ali Alqahtani, Ansar Munir Shah, Adel Rajab, Mahmood Ul Hassan, Asadullah Shaikh, Khairan Rajab, Basit Shahzad
    Computer Systems Science and Engineering, 2022
    Throughout the use of the small battery-operated sensor nodes encourage us to develop an energy-efficient routing protocol for wireless sensor networks (WSNs). The development of an energy-efficient routing protocol is a mainly adopted technique to enhance the lifetime of WSN. Many routing protocols are available, but the issue is still alive. Clustering is one of the most important techniques in the existing routing protocols. In the clustering-based model, the important thing is the selection of the cluster heads. In this paper, we have proposed a scheme that uses the bubble sort algorithm for cluster head selection by considering the remaining energy and the distance of the nodes in each cluster. Initially, the bubble sort algorithm chose the two nodes with the maximum remaining energy in the cluster and chose a cluster head with a small distance. The proposed scheme performs hierarchal routing and direct routing with some energy thresholds. The simulation will be performed in MATLAB to justify its performance and results and compared with the ECHERP model to justify its performance. Moreover, the simulations will be performed in two scenarios, gateway-based and without gateway to achieve more energy-efficient results.
  • Usage of internet of things (iot) technology in the higher education sector
    Journal of Engineering Science and Technology, 2021
  • Efficient Solution for Connectivity Restoration (ESCR) in Wireless Sensor and Actor-Networks
    Muhammad Kashif Saeed, Mahmood ul Hassan, Khalid Mahmood, Ansar Munir Shah, Jahangir Khan
    Wireless Personal Communications, 2021
  • An efficient connectivity restoration technique (ECRT) for wireless sensor network
    Mahmood ul Hassan, Shahzad Ali, Khalid Mahmood, Muhammad Kashif Saeed, Amin Al-Awady, Kamran Javed, Ansar Munir Shah
    Computers Materials and Continua, 2021
    : Node failure in Wireless Sensor Networks (WSNs) is a fundamental problem because WSNs operate in hostile environments. The failure of nodes leads to network partitioning that may compromise the basic operation of the sensor network. To deal with such situations, a rapid recovery mechanism is required for restoring inter-node connectivity. Due to the immense importance and need for a recovery mechanism, several different approaches are proposed in the literature. However, the proposed approaches have shortcomings because they do not focus on energy-efficient operation and coverage-aware mechanisms while performing connectivity restoration. Moreover, most of these approaches rely on the excessive mobility of nodes for restoration connectivity that affects both coverage and energy consumption. This paper proposes a novel technique called ECRT (Efficient Connectivity Restoration Technique). This technique is capable of restoring connectivity due to single and multiple node failures. ECRT achieves energy efficiency by transmitting a minimal number of control packets. It is also coverage-aware as it relocates minimal nodes while trying to restore connectivity. With the help of extensive simulations, it is proven that ECRT is effective in connectivity restoration for single and multiple node failures. Results also show that ECRT exchanges a much smaller number of packets than other techniques. Moreover, it also yields the least reduction in field coverage, proving its versatility for connectivity restoration.
  • A cluster-based mitigation strategy against security attacks in wireless sensor networks
    Jahangir Khan, Ansar Munir, Babar Nawaz, Khalid Mahmood, Muhammad Kashif, Mehmood ul
    International Journal of Advanced Computer Science and Applications, 2020
    Wireless Sensor Networks (WSNs) applications range across distinct application comprising of event detection at real-time. WSNs can be deployed for not only mobile nodes but also for static sensor nodes (SNs) for various applications which may include health care system, smart parking, environmental monitoring etc. Sensor nodes in WSN are constrained in terms of energy contents of each node and can be accessible by other nodes in a wireless medium are more likely to be susceptible to various categories of attacks. Wireless Network are more likely prone to various kinds of security attacks, one such type of attack caused by a malicious attacker, which can result to decay in the lifetime of the network and an adverse scenario can even lead to congestion in the entire network. This paper presents the overview of various attacks and their consequences on different layers and evaluates defense strategy used to mitigate the various categories of attacks on Wireless Sensor Networks. This study proposes a cluster-based approach for each node of a WSN where the nodes of network constrained by energy can organize and perform network duties as per the network performance for this one node performs the role of cluster head (CH) which is elected on the basis of the "Reputation" of a node which is an indicator of nodes individual behavior in the network and "Net_Credit_Score" which determines the cooperating behavior of sensor node in the cluster. Further, this study highlights few parameters which can be implemented to further enhance the defense strategy by taking into account the factors such as Cluster count, Stability factor of both the Cluster and Cluster Head and Intra-Cluster topology which can be crucial. This will result in formulating a road map for designing a secure and resistant reputation-based system for WSN to overcome the various security related attacks.
  • Congestion control techniques in WSNs: A review
    Babar Nawaz, Khalid Mahmood, Jahangir Khan, Mahmood ul, Ansar Munir, Muhammad Kashif
    International Journal of Advanced Computer Science and Applications, 2019
    Congestion control has a great importance in wireless sensor network (WSN), where efficient application of congestion control mechanisms can prolong the network lifetime. Thus, proper examination is needed to improve more refine way to address the congestion occurrence and resolution. While designing congestion control techniques, the maximum output can be achieved by efficient utilization of required resources within WSN. From last few years several approaches have been brought in, that consist of routing protocols which provide support with congestion control, congestion prevention, and reliable data routing. In old schemes the topology reset and extent traffic drop take place because sink node executes the congestion avoidance. Therefore, node level congestion avoidance, detection, congestion preventing, and resolution mechanisms have been proposed during past few years. Our paper provides a brief overview and performance comparison of centralized and distributed congestion control algorithms in WSN.
  • Connectivity restoration techniques for Wireless Sensor and Actor Network (WSAN), A review
    International Journal of Advanced Computer Science and Applications, 2018
  • Permanent relocation and Self-Route Recovery in wireless sensor and actor networks
    Khalid Mahmood, Muhammad Amir, Mahmood ul, Ansar Munir, Muhammad Kashif
    International Journal of Advanced Computer Science and Applications, 2018
  • Distributed energy efficient node relocation algorithm (DEENR)
    Mahmood ul, Muhammad Amir, Shahzad Ali, Khalid Mahmood, Ansar Munir
    International Journal of Advanced Computer Science and Applications, 2018
  • Coverage-aware protocols in wireless sensor networks: A review
    Jahangir Khan, Khalid Mahmood, Ansar Munir, Babar Nawaz, Mahmood ul
    International Journal of Advanced Computer Science and Applications, 2018
  • eHealth WBAN: Energy-efficient and priority-based enhanced IEEE802.15.6 CSMA/CA MAC protocol: Wireless Body Area Network
    Ansar Munir Shah, Abdelzahir Abdelmaboud, Khalid Mahmood, Mahmood ul, Muhammad Kashif
    International Journal of Advanced Computer Science and Applications, 2018
  • Intelligent On-Demand Connectivity Restoration for Wireless Sensor Networks
    Khalid Mahmood, Muhammad Amir Khan, Mahmood ul Hassan, Ansar Munir Shah, Shahzad Ali, Muhammad Kashif Saeed
    Wireless Communications and Mobile Computing, 2018