An enhanced superframe structure of IEEE 802.15.4 standard for adaptive data requirement

Khan, Sangrez; Alvi, Ahmad Naseem; Javed, Muhammad Awais; Bouk, Safdar Hussain

doi:10.1016/j.comcom.2020.12.023

Cited by 8 publications

(4 citation statements)

References 16 publications

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“…In contention-based MAC protocols, data-sending nodes have to contend with other nodes to transmit their data within the medium [7,8]. However, in contention-free MAC protocols, data-sending nodes are assigned dedicated slots to transmit their data without contending with other nodes [9][10][11][12]. The increased number of nodes increases the probability of collisions in contention-based MAC protocols; hence, contention-free MAC protocols are preferred in such environments.…”

Section: Introductionmentioning

confidence: 99%

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TMPAD: Time-Slot-Based Medium Access Control Protocol to Meet Adaptive Data Requirements for Trusted Nodes in Fog-Enabled Smart Cities

Alvi,

Ali,

Saleh

et al. 2024

Applied Sciences

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The popularity of fog-enabled smart cities is increasing due to the advantages provided by modern communication and information technologies, which contribute to an improved quality of life. Wireless networks make them more vulnerable when the network is under malicious attacks that cause a collision in the medium. Furthermore, diverse applications of smart cities demand a contention-free medium access control (MAC) protocol to meet adaptive data requirements. In this work, a time-slot-based medium access control protocol to meet adaptive data requirements (TMPAD) for IoT nodes in fog-enabled smart cities is proposed. TMPAD proposes a trust mechanism to differentiate malicious and legitimate data requests. In addition, it accommodates more legitimate data-requesting nodes to transfer their data during a session by applying the technique for order performance by similarity to ideal solution (TOPSIS) and 0/1 knapsack algorithm. The performance of TMPAD is compared with well-known techniques such as first come first serve (FCFS), shortest job first (SJF), and longest job first (LJF) in different prospective scenarios. The results show that TMPAD scrutinizes more data-requesting nodes in slot allocation, allowing more data transmission in a session, with better mean trust value, as compared to other algorithms.

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Section: Introductionmentioning

confidence: 99%

“…This step quantifies how close or far each alternative is from the ideal and negative-ideal solutions for each criterion. After that, the relative closeness values are calculated for each alternative by following the criteria described in TOPSIS algorithm [28], as shown in Equation (11).…”

mentioning

confidence: 99%

TMPAD: Time-Slot-Based Medium Access Control Protocol to Meet Adaptive Data Requirements for Trusted Nodes in Fog-Enabled Smart Cities

Alvi,

Ali,

Saleh

et al. 2024

Applied Sciences

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“…The dramatic increase in the IoT heterogeneous network requires trust management in communicating their data to other devices is such a challenging job. IoT devices mostly comprise of large number of tiny sensors with limited computational and resource capabilities [12,13]. Though limited resources reduce the cost of these sensors, at the same time they are more vulnerable to other networks and are under attack.…”

Section: Introductionmentioning

confidence: 99%

TETES: Trust Based Efficient Task Execution Scheme for Fog Enabled Smart Cities

Alvi,

Ali,

Saleh

et al. 2023

Applied Sciences

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Quality lifestyle leads to increasing trends in smart cities by offering modern communication and information technologies. Smart cities offer multiple applications with smart management of resources such as smart agriculture, Intelligent transportation systems, waste management and energy management. These applications are based on IoTs that are composed of sensor networks with limited processing and computing capabilities and are connected with different types of networks. Due to limited computational capability, IoT sensor nodes require more time to compute different tasks and are required to offload some tasks to remotely placed cloud servers for task execution. Fog nodes are preferred over the cloud as they are placed in close access to IoT nodes distributed in different networks. Different types of networks make it more vulnerable to malicious attacks. Malicious nodes offload complex and high computing tasks to fog nodes to compromise their performance and create delays in the computing tasks of legitimate nodes. In addition, fog nodes even after removing the malicious nodes are unable to process all the legitimate tasks within a specific time frame. In this work, a Trust-based Efficient Task Execution Scheme (TETES) is proposed for fog node that scrutinizes the offloaded tasks sent by the malicious nodes and efficiently execute most of the trusted tasks within a stipulated time cycle. The simulated results show that TETES execute more offloaded tasks as compared to well-known First Come First Serve (FCFS), Longest Task First (LTF), and Shortest Task First (STF) algorithms.

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“…The main concerns in these MAC protocols include energy efficiency, delay minimization, and better throughput. These MAC protocols also offer nodes scalability, reliability, and adaptability [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

A Novel QoS‐Oriented Intrusion Detection Mechanism for IoT Applications

Noorwali

Alvi

Khan

et al. 2021

Wireless Communications and Mobile Computing

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Wireless sensor network (WSN) is an integral part of Internet of Things (IoT). The sensor nodes in WSN generate large sensing data which is disseminated to intelligent servers using multiple wireless networks. This large data is prone to attacks from malicious nodes which become part of the network, and it is difficult to find these adversaries. The work in this paper presents a mechanism to detect adversaries for the IEEE 802.15.4 standard which is a central medium access protocol used in WSN-based IoT applications. The collisions and exhaustion attacks are detected based on a soft decision-based algorithm. In case the QoS of the network is compromised due to large data traffic, the proposed protocol adaptively varies the duty cycle of the IEEE 802.15.4. Simulation results show that the proposed intrusion detection and adaptive duty cycle algorithm improves the energy efficiency of a WSN with a reduced network delay.

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An enhanced superframe structure of IEEE 802.15.4 standard for adaptive data requirement

Cited by 8 publications

References 16 publications

TMPAD: Time-Slot-Based Medium Access Control Protocol to Meet Adaptive Data Requirements for Trusted Nodes in Fog-Enabled Smart Cities

TMPAD: Time-Slot-Based Medium Access Control Protocol to Meet Adaptive Data Requirements for Trusted Nodes in Fog-Enabled Smart Cities

TETES: Trust Based Efficient Task Execution Scheme for Fog Enabled Smart Cities

A Novel QoS‐Oriented Intrusion Detection Mechanism for IoT Applications

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