OGMAD: Optimal GTS-Allocation Mechanism for Adaptive Data Requirements in IEEE 802.15.4 Based Internet of Things

Alvi, Ahmad Naseem; Khan, Sangrez; Javed, Muhammad Awais; Igorevich, Kostromitin Konstantin; Almagrabi, Alaa Omran; Nawaz, Raheel

doi:10.1109/access.2019.2955544

Cited by 25 publications

(24 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [22], the authors proposed a novel OGMAD method is proposed which adapts the superframe in the active period with respect to the requested data. This proposed method improves the utilization of links and also incorporate more GTS nodes.…”

Section: Literature Surveymentioning

confidence: 99%

A metaheuristic optimization approach for energy efficiency in the IoT networks

et al. 2020

Self Cite

View full text Add to dashboard Cite

Recently Internet of Things (IoT) is being used in several fields like smart city, agriculture, weather forecasting, smart grids, waste management, etc. Even though IoT has huge potential in several applications, there are some areas for improvement. In the current work, we have concentrated on minimizing the energy consumption of sensors in the IoT network that will lead to an increase in the network lifetime. In this work, to optimize the energy consumption, most appropriate Cluster Head (CH) is chosen in the IoT network. The proposed work makes use of a hybrid meta-heuristic algorithm, namely, Whale Optimization Algorithm (WOA) with Simulated Annealing (SA). To select the optimal CH in the clusters of IoT network, several performance metrics such as the number of alive nodes, load, temperature, residual energy, cost function has been used. The proposed approach is then compared with several state-of-the-art optimization algorithms like Artificial Bee Colony (ABC) algorithm, Genetic Algorithm (GA), Adaptive Gravitational Search algorithm (AGSA), Whale Optimization Algorithm (WOA). The results prove the superiority of the proposed hybrid approach over existing approaches.

show abstract

Section: Literature Surveymentioning

confidence: 99%

A metaheuristic optimization approach for energy efficiency in the IoT networks

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Multiple solutions are proposed for effectively allocating these CFP slots for delay minimization with increased throughput and assign more GTSs to nodes in comparison of the standard. [22][23][24] However, the focus of most of the previous works alters the standard superframe structure either by extending or shrinking the GTS area to optimize the GTS utilization.…”

Section: Related Workmentioning

confidence: 99%

A novel superframe structure and optimal time slot allocation algorithm for IEEE 802.15.4–based Internet of things

Khan

Alvi

Khan

et al. 2020

International Journal of Distributed Sensor Networks

Self Cite

View full text Add to dashboard Cite

IEEE 802.15.4 standard is specifically designed for a low-rate and low-processing Internet of things (IoT) applications and offers guaranteed time slots. A beacon-enabled IEEE 802.15.4 consists of a superframe structure that comprises of the contention access period and contention-free period. During contention-free period, nodes transfer their data using guaranteed time slots without any collision. The coordinator node receives data transmission requests in one cycle and allocates guaranteed time slots to the nodes in the next cycle. This allocation process may cause large delay that may not be acceptable for few applications. In this work, a novel superframe structure is proposed that significantly reduces guaranteed time slots allocation delay for the nodes with data requests. The proposed superframe structure comprises of two contention access periods and one contention-free period, where contention-free period precedes both contention access periods with reduced slot size. In addition, the knapsack algorithm is modified for better guaranteed time slots allocation by allowing more guaranteed time slots requesting nodes to send their data as compared to the IEEE 802.15.4 standard. The simulation and analytical results show that the proposed superframe structure reduces the network delay by up to 80%, increases contention-free period utilization up to 50%, and allocates guaranteed time slots up to 16 nodes in a single superframe duration.

show abstract

“…IEEE 802.15.4 standard was developed to transmit data using low transmit power and low data rate to nearby nodes. It is widely accepted and embedded in the majority of the WSNs [4]. The standard has two operating modes: first is the beacon-enabled mode and second is the non-beaconenabled mode.…”

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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

OGMAD: Optimal GTS-Allocation Mechanism for Adaptive Data Requirements in IEEE 802.15.4 Based Internet of Things

Cited by 25 publications

References 24 publications

A metaheuristic optimization approach for energy efficiency in the IoT networks

A metaheuristic optimization approach for energy efficiency in the IoT networks

A novel superframe structure and optimal time slot allocation algorithm for IEEE 802.15.4–based Internet of things

A Novel QoS‐Oriented Intrusion Detection Mechanism for IoT Applications

Contact Info

Product

Resources

About