Wireless Sensor Networks (WSNs) have been widely used in various applications for data collection and monitoring purposes. However, due to the limited resources and energy constraints of these networks, security and energy efficiency have become major concerns. In this paper, we propose an enhanced lightweight encryption technique for WSNs that provides both energy efficiency and security. The proposed method is based on the concept of symmetric key encryption, where a secret key is used to encrypt and decrypt data. We introduce a lightweight key management scheme that reduces the energy overhead associated with key establishment and maintenance. This scheme also provides secure communication between the sensor nodes. The proposed model was evaluated using simulation and compared with existing encryption techniques. The results show that our method significantly reduces energy consumption and improves the security of WSNs. Moreover, the model can be easily integrated into existing WSN protocols without affecting their performance.

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Enhanced Lightweight Encryption for Energy Efficiency and Security in Wireless Sensor Networks

  • Joseph Bamidele Awotunde,
  • Agbotiname Lucky Imoize,
  • Yousef Farhaoui,
  • Moses Kazeem Abiodun,
  • Abidemi Emmanuel Adeniyi

摘要

Wireless Sensor Networks (WSNs) have been widely used in various applications for data collection and monitoring purposes. However, due to the limited resources and energy constraints of these networks, security and energy efficiency have become major concerns. In this paper, we propose an enhanced lightweight encryption technique for WSNs that provides both energy efficiency and security. The proposed method is based on the concept of symmetric key encryption, where a secret key is used to encrypt and decrypt data. We introduce a lightweight key management scheme that reduces the energy overhead associated with key establishment and maintenance. This scheme also provides secure communication between the sensor nodes. The proposed model was evaluated using simulation and compared with existing encryption techniques. The results show that our method significantly reduces energy consumption and improves the security of WSNs. Moreover, the model can be easily integrated into existing WSN protocols without affecting their performance.