연구 분야: Verification
학회: The Journal of Supercomputing
In wireless sensor networks (WSNs), network longevity and energy efficiency are vital challenges. In this paper, a model named energy-efficient multi-sink (EEMS) has been proposed that significantly improves the lifetime of the network through energy-efficient approaches. The proposed model EEMS divides the network into grids and further maps various uniform sub-grids onto it, where each sub-grid is mapped by a corona-based network architecture along with a centrally located static sink. Further, the sensor nodes are deployed in these coronas in energy-efficient manner using a well established and verified probability density function. These static sinks aggregate data collected within their respective sub-grids and utilize multi-path routing to relay the information to a central reporting station to minimize transmission delays. The EEMS optimally allocates the static sinks that behave as rendezvous points (RPs) to reduce the message complexity of the network while ensuring energy balance among deployed sensor nodes. The extensive simulations demonstrate that the proposed EEMS significantly enhances the network lifetime, reduces the latency, and improves the throughput when it is compared to other mobile sink-based data-gathering approaches. The simulation results confirm the superiority of the EEMS by improving the network lifetime and throughput by 80% and 20%, respectively, and, reducing the energy consumption rate, the message overhead, and the data transmission latency by 36%, 62%, and 38%, respectively, when compared against existing state-of-the-art techniques.
| 발행 연도 | 2025년 |
|---|---|
| 인용수 | 0 |
| 출판 국가 | India |
| 사이트 | Springer |
| 좋아요 수 | 0 |