EA-CRP: A Novel Energy-aware Clustering and Routing Protocol in Wireless Sensor Networks. (November 2018)

• Record Type: Journal Article
• Authors: Darabkh, Khalid A.; Al-Maaitah, Noor J.; Jafar, Iyad F.; Khalifeh, Ala' F.
• Is Part Of: Computers & electrical engineering. Volume 72(2018)
• Page Start: 702
• Page End: 718
• Publication Date: 2018-11
• Subjects: Network divisions -- Cluster leader head -- Broadcast range -- Multi-hop routing -- Network lifetime; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2017.11.017
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: This paper proposes a novel energy-aware and layering-based clustering and routing protocol (EA-CRP) for gathering data in WSNs. The main goal of EA-CRP is to reduce the energy consumption among all sensor nodes in the network. To achieve this goal, EA-CRP employs an innovative multilayered architecture. More specifically, we divide the field into a number of layers where the width of a layer not only decreases towards the base station, but also is composed of a certain number of clusters (sub layers). The proposed design not only shortens the communication distance between nodes, but also decreases the amount of communication overhead required for setting up clusters. Furthermore, a multi-hop routing algorithm for inter-cluster communications is proposed which basically considers the tradeoff between distance and the energy of relaying nodes. The effectiveness of EA-CRP is verified through comparing its results with those obtained from previous relevant protocols. Interestingly, our experimental results show that EA-CRP has superior performance in term of network lifetime, energy efficiency, and scalability.