An optimized DEEC approach for efficient packet transmission in sensor based IoTs network

• Published in: Microprocessors and microsystems 2023-02, Vol.96, p.104714, Article 104714
• Main Authors: Asha, A., Srivastava, Ashish Kumar, Doohan, Nitika Vats, Sharma, Dharmendra, Bist, Ankur Singh, Neware, Rahul, Kumar, Sarvesh
• Format: Article
• Language: English
• Subjects: Clustering; Multi objective optimization; QoS; WSN assisted IOTS
• ISSN: 0141-9331
• DOI: 10.1016/j.micpro.2022.104714

To cope up with the network energy requirements while maintaining the other quality of service (QoS) parameters in a continuously monitoring WSN assisted IOTS networks is quite a hard task. The optimization of two network QoS parameters such as throughput and delay at the same time have compelled the researchers to focus on the multi objective optimization paradigm. To achieve this, the routing algorithms are hybridized by using the optimization approach. To determine best multi objective optimal technique, a problem is formulated by the 2 state-of-the-art algorithms namely multi objective cuttlefish optimization algorithm (MOCFA) and the distributed energy efficient (DEEC) clustering. The DEEC routing protocol is a distributed protocol based on clustering approach, majorly used for the heterogeneous networks in a multi hop environment. The proposed methodology gives optimized network performance measures which are compared with other competent algorithms. The simulation shows that the proposed method outperforms other methods like speed constrained multi-objective (SMPSO) particle swarm optimization-based routing, optimized low energy adaptive clustering (Op-LEACH) hierarchy, fuzzy random multiple objective optimization (FRMOO) based routing and dynamic duty cycle (DDC) protocol. The parameters of comparison have been in respect of network scalability, throughput, end to end delay, energy efficacy. The proposed method gives 85.7% pruning in the consumption of energy of sensor nodes in the WSN assisted IOTS networks.