Abstract
The main challenges of sensing in harsh industrial and biological environments are the limited energy of sensor nodes and the difficulty of charging sensor nodes. Simultaneous wireless information and power transfer (SWIPT) is a non-invasive option to replenish energy. SWIPT harvests energy and decodes information from the same RF signal, which is influencing the design of a wireless sensor network. In multi-hop multi-flow wireless sensor networks, interference generally exists, and the interference has a different influence on SWIPT. Route, interference and SWIPT are dependent. However, existing works consider SWIPT link resource allocation with a given route or only select path for one flow without interference. Therefore, this paper firstly analyzes the influence of interference on SWIPT, and select the SWIPT routing with interference. We design an interference-based information and energy allocation model to maximize the link capacity with SWIPT. Then, we design an interference-aware route metric, formulate SWIPT routing problem, and design an interference-aware SWIPT routing algorithm. The simulation results show that as the number of flows increases, there is more likely to obtain performance gains from interference and SWIPT.
Highlights
Sensing in harsh industrial and biological environments, such as the human body and concrete, has attracted a lot of recent interests
The first scheme uses wireless information transmission (WIT) and the Equation (3) without the interference part as the route metric, which is named by WIT without interference (WITwoi)
The second scheme uses the maximum capacity between WIT and Simultaneous wireless information and power transfer (SWIPT) as route metric, but there are no interference parts in the Equation (3)
Summary
Sensing in harsh industrial and biological environments, such as the human body and concrete, has attracted a lot of recent interests. Applying SWIPT to interference environment of multi-hop multi-flow difficult wireless sensor network faces lots of challenges which are listed. The links and network topology vary as the route selection of previous flows and allocation between information and energy. We firstly propose an interference-based information and energy allocation model to analyze the influence of interference on SWIPT and maximize the capacity of SWIPT link. This allocation model is solved by a Lagrange multiplier algorithm. An interference-aware SWIPT routing algorithm is proposed to calculate the interference from previous flows to get the maximum capacity while finding path.
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