Abstract
In large scale wireless sensor networks (WSNs), the individual sensor nodes deployed are typically low-cost with limited computation, communication and energy resources. Thus, to send the data collected by the senor nodes to the base station multi-hop routing algorithms are implemented. Clustering techniques are helpful to partition the sensor network into multiple smaller regions that could be efficiently monitored by more powerful cluster head nodes in a distributed manner. In this paper, we are proposing an energy aware adaptive clustering technique where the number of nodes managed by a cluster head is adjusted according to its available energy. The system is able to dynamically adapt to changing energy levels and reconfigures the clusters automatically. This strategy helps maintain coverage, increase the network lifetime, and quality of service (QoS) of the WSN.
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.
