LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

EESRA: Energy Efficient Scalable Routing Algorithm for Wireless Sensor Networks

Photo by brookecagle from unsplash

Many recent wireless sensor network (WSN) routing protocols are enhancements to address specific issues with the “low-energy adaptive clustering hierarchy” (LEACH) protocol. Since the performance of LEACH deteriorates sharply with… Click to show full abstract

Many recent wireless sensor network (WSN) routing protocols are enhancements to address specific issues with the “low-energy adaptive clustering hierarchy” (LEACH) protocol. Since the performance of LEACH deteriorates sharply with increasing network size, the challenge for new WSN protocols is to extend the network lifespan while maintaining high scalability. This paper introduces an energy-efficient clustering and hierarchical routing algorithm named energy-efficient scalable routing algorithm (EESRA). The goal of the proposed algorithm is to extend the network lifespan despite an increase in network size. The algorithm adopts a three-layer hierarchy to minimize the cluster heads’ load and randomize the selection of cluster heads. Moreover, EESRA uses multi-hop transmissions for intra-cluster communications to implement a hybrid WSN MAC protocol. This paper compares EESRA against other WSN routing protocols in terms of network performance with respect to changes in the network size. The simulation results show that EESRA outperforms the benchmarked protocols in terms of load balancing and energy efficiency on large-scale WSNs.

Keywords: wireless sensor; efficient scalable; routing algorithm; energy efficient; energy; network

Journal Title: IEEE Access
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.