Abstract
Great improvement recently appeared in terms of efficient service delivery in wireless sensor networks (WSNs) for Internet of things (IoT). The IoT is mainly dependent on optimal routing of energy-aware WSNs for gathering data. In addition, as the wireless charging technology develops in leaps and bounds, the performance of rechargeable wireless sensor networks (RWSNs) is greatly ameliorated. Many researches integrated wireless energy transfer into data gathering to prolong network lifetime. However, the mobile collector cannot visit all nodes under the constraints of charging efficiency and gathering delay. Thus, energy consumption differences caused by different upload distances to collectors impose a great challenge in balancing energy. In this paper, we propose an adaptive dual-mode routing-based mobile data gathering algorithm (ADRMDGA) in RWSNs for IoT. The energy replenishment capability is reasonably allocated to low-energy nodes according to our objective function. Furthermore, the innovative adaptive dual-mode routing allows nodes to choose direct or multi-hop upload modes according to their relative upload distances. The empirical study confirms that ADRMDGA has excellent energy equilibrium and effectively extends the network lifetime.
Highlights
Internet of things (IoT) can be used in many environments such as healthcare, smart grids, and security monitoring, with the aim of providing a wide range of connections for various terminals [1].Wireless sensor networks (WSNs) own a dominant position in IoT on account of their convenient communication mode for attractive applications [2]
Based on the analyses above, an adaptive dual-mode routing-based mobile data gathering algorithm (ADRMDGA) in rechargeable wireless sensor networks (RWSNs) for IoT is proposed in this paper
Wireless energy transfer is recognized as an effective technology for extending network lifetime
Summary
Internet of things (IoT) can be used in many environments such as healthcare, smart grids, and security monitoring, with the aim of providing a wide range of connections for various terminals [1]. The mobile data gathering mode can decentralize the load and effectively extend the network lifetime [9]. Based on the analyses above, an adaptive dual-mode routing-based mobile data gathering algorithm (ADRMDGA) in rechargeable wireless sensor networks (RWSNs) for IoT is proposed in this paper. A mobile vehicle with both wireless charging and data gathering functions (MCGV) is proposed. An innovative adaptive dual-mode routing is used to balance energy when the MCGV gathers data. An adaptive dual-mode routing strategy is proposed, which can effectively balance the energy consumption of nodes when the MCGV gathers data. We prove its performance, where the MCGV can prolong the network lifetime by balancing energy when gathering data and by replenishing the low-energy nodes in a timely manner.
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