Abstract
Early death of cluster heads (CHs) located near the sink due to excessive data relay load causes energy holes in wireless sensor networks (WSNs). A widely adopted solution to energy hole problem is to divide the deployment region into multiple sub regions and use mobile sink (MS) to aggregate data from each sub-region. However, inside a sub-region, CHs close to MS dissipate their energy quickly and die despite of the sink mobility. The authors map the problem of distributing data relay load optimally to multiple CHs and locating MS near these multiple CHs using metaheuristic algorithm biogeography-based optimization (BBO). Furthermore, there is a need of optimum routing of data to the MS inside each sub-region of a MS WSN. Proposed mobile sink distributed load routing algorithm (MSDR-BBO) selects the optimum routing CHs in MS WSN as per data transfer requirements of sensor nodes (SNs) and CHs. MSDR-BBO is validated using Matlab simulation as well as Netsim emulator, and it outperforms latest MS WSN algorithms like nested routing, SENMA, and CMS2TO by 4.6%, 11.7%, and 17.4%, respectively.
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 callMore From: International Journal of Mobile Computing and Multimedia Communications
Disclaimer: 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.
