Wireless sensor networks in the internet of things: review, techniques, challenges, and future directions

Zijie, Fu; Al-Shareeda, Mahmood A.; Saare, Murtaja Ali; Manickam, Selvakumar; Karuppayah, Shankar

doi:10.11591/ijeecs.v31.i2.pp1190-1200

Cited by 8 publications

(1 citation statement)

References 57 publications

(60 reference statements)

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“…An enormous number of sectors for instance the military, healthcare, intelligent buildings, farming have been witnessing detection and assembling various physical data [6][7][8]. In this regard, wireless sensor networks (WSNs) are considered the backbones of IoT expansion, and they are comprised of a countless number of intelligent sensors that interrelate with the IoT in order to observe and collect data [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Addressing the Vulnerability of Data Routing in IoT Network based on Optimization Techniques and Advanced Blow Fish Encryption

2024

IJSER

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This study focuses on evaluating the data routing protocol in the Internet of Things (IoT). The evaluation is conducted using the Whale Optimization Algorithm (WOA), enhanced by the advanced Blowfish encryption algorithm. In this study, Cipher Block Chaining (CBC) is employed to improve the typical Blowfish technique. Furthermore, several key factors, including the rate of energy consumption, trust, distance, and delay, are considered to ensure the effectiveness of data routing. To demonstrate the feasibility of the proposed approach, four other schemes are utilized in a comparative study. These schemes are particle swarm optimization (PSO), secure routing protocol ( SARP),Genetic algorithm (GA), QoS-based Cross Multi-sink Routing protocol (QCM2R). The results clearly demonstrate the feasibility of the proposed approach when compared to the aforementioned schemes, with the lowest energy consumption, distance, and delay recorded as 0.44325 Joule, 0.43257 meters, and 1.35 x 10 -9 seconds, respectively. Additionally, the trust level is the highest at 0.71255, and the throughput reaches its peak at 2.30 Megabytes/ms when the data size is 7 KB. In terms of security dimension, the proposed improved Blowfish encryption technique is compared with Advanced Encryption Standard (AES), Rivest-Shamir-Adleman (RSA) and typical Blow fish algorithm (BFA) encryption techniques to assess its security robustness against Chosen-Ciphertext Attack (CCA) and Chosen-Plaintext Attack (CPA) with varying the size of data bits from 5KB, 7 KB and 10KB. The obtained results show that the proposed improved blow fish approach outperforms three aforementioned schemes with the smallest similarity between unique text and hacked text under CCA and CPA. Furthermore, the least time of decryption occurs with the proposed approach compared to other three schemes.

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Section: Introductionmentioning

confidence: 99%

Addressing the Vulnerability of Data Routing in IoT Network based on Optimization Techniques and Advanced Blow Fish Encryption

2024

IJSER

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Sensing health: a bibliometric analysis of wearable sensors in healthcare

Azizan,

Ahmed,

Razak

2023

Health Technol.

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PPSO and Bayesian game for intrusion detection in WSN from a macro perspective

Liu,

Zheng

2024

Complex Intell. Syst.

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The security of wireless sensor networks is a hot topic in current research. Game theory can provide the optimal selection strategy for attackers and defenders in the attack-defense confrontation. Aiming at the problem of poor generality of previous game models, we propose a generalized Bayesian game model to analyze the intrusion detection of nodes in wireless sensor networks. Because it is difficult to solve the Nash equilibrium of the Bayesian game by the traditional method, a parallel particle swarm optimization is proposed to solve the Nash equilibrium of the Bayesian game and analyze the optimal action of the defender. The simulation results show the superiority of the parallel particle swarm optimization compared with other heuristic algorithms. This algorithm is proved to be effective in finding optimal defense strategy. The influence of the detection rate and false alarm rate of nodes on the profit of defender is analyzed by simulation experiments. Simulation experiments show that the profit of defender decreases as false alarm rate increases and decreases as detection rate decreases. Using heuristic algorithm to solve Nash equilibrium of Bayesian game provides a new method for the research of attack-defense confrontation. Predicting the actions of attacker and defender through the game model can provide ideas for the defender to take active defense.

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Wireless sensor networks in the internet of things: review, techniques, challenges, and future directions

Cited by 8 publications

References 57 publications

Addressing the Vulnerability of Data Routing in IoT Network based on Optimization Techniques and Advanced Blow Fish Encryption

Addressing the Vulnerability of Data Routing in IoT Network based on Optimization Techniques and Advanced Blow Fish Encryption

Sensing health: a bibliometric analysis of wearable sensors in healthcare

PPSO and Bayesian game for intrusion detection in WSN from a macro perspective

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