Abstract
In a non-uniformly distributed network, the data-concentrating centre equipped with sparse nodes rapidly depletes its battery energy due to the hotspot problem. To solve this problem, a Virtual Uneven Grid-based Routing protocol (VUGR) is proposed in this paper, which aims to prolong the stable network operating time by dynamically partitioning grid cells, so as to handle energy resources into smaller cells to form such uneven grid cells. A maintenance mechanism in a smart home environment for the higher-layer virtual structure is also adopted in the VUGR to ensure the stable operation of the entire network. In addition, latest location information is updated regularly to all regions within the network. Simulation results demonstrate that the VUGR protocol performs better compared to existing solutions.
Highlights
Typical wireless sensor networks (WSNs) consist of a lot of micro devices, which have the ability to perform many tasks, e.g., environment sensing, data processing and communicating [1, 2]
We propose an energy efficient routing protocol for a WSN-based smart home system, called Virtual Uneven Grid-based Routing (VUGR)
The performance of the Virtual Uneven Grid-based Routing protocol (VUGR) protocol has been evaluated compared with Virtual Grid-Based Dynamic Routes Adjustment Scheme (VGDRA) and Ring Routing in terms of Network Lifetime, Data Delivery Ratio and End-to-End Delay
Summary
Typical wireless sensor networks (WSNs) consist of a lot of micro devices, which have the ability to perform many tasks, e.g., environment sensing, data processing and communicating [1, 2]. Due to these features, smart micro devices are often applied into different domains, especially those dangerous or unattended physical environment, such as battle reconnaissance, medical services, forest fire monitoring, volcanic monitoring, agricultural production and industrial manufacturing [3,4,5]. As mobile sinks move to the sojourning position, the hotspots in the vicinity of the sinks will be shifted, which helps acquiring uniform energy dissipation of nodes to extend the network lifetime
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