Abstract
This paper proposes a distributed energy-efficient clustering protocol for wireless sensor networks (WSNs). Based on low-energy adaptive clustering hierarchy (LEACH) protocol, the proposed LEACH-eXtended Message-Passing (LEACH-XMP) substantially improves a cluster formation algorithm, which is critical for WSN operations. Unlike the previous approaches, a realistic non-linear energy consumption model is considered, which renders the clustering optimization highly nonlinear and challenging. To this end, a state-of-the-art message-passing approach is introduced to develop an efficient distributed algorithm. The main benefits of the proposed technique are its inherent nature of a distributed algorithm and the saving of computational load imposed for each node. Thus, it proves useful for a practical deployment. In addition, the proposed algorithm rapidly converges to a very accurate solution within a few iterations. Simulation results ensure that the proposed LEACH-XMP maximizes the network lifetime and outperforms existing techniques consistently.
Highlights
Advances in sensor technology popularize battery-powered wireless sensor networks (WSNs) in a large number of industrial areas including vehicle traffic monitoring, smart factories, internet-of-things devices, and public safety networks to name a few [1,2]
In previous works [6], it is assumed that the cluster head (CH) node can compress the collected information of nb bits into a single data packet of a constant length b to transmit to the base station (BS)
We refer to the interval between consecutive cluster reformations as a single round, which amounts to 7 days
Summary
Advances in sensor technology popularize battery-powered wireless sensor networks (WSNs) in a large number of industrial areas including vehicle traffic monitoring, smart factories, internet-of-things devices, and public safety networks to name a few [1,2]. The location information of sensor nodes is not necessary and the signaling overhead becomes minimal It outperforms the existing centralized counterparts in terms of the network lifetime. Unlike the previous approach in [12], the LEACH-XMP adopts a sophisticated but realistic nonlinear energy consumption model for CH nodes without oversimplification. The data compression rate based on the correlation of the collected data is considered It influences the transmission power dissipation of a CH node since an inaccurate energy consumption model of CH nodes incurs a suboptimal cluster formation. The proposed algorithm outperforms all the previous approaches in terms of energy consumption rate, total delivered data, and network lifetime. Based on the realistic energy consumption model, the proposed algorithm provides an efficient solution for different network sizes.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
