4.8 Article

FGOR: Flow-Guided Opportunistic Routing for Intrabody Nanonetworks

期刊

IEEE INTERNET OF THINGS JOURNAL
卷 9, 期 21, 页码 21765-21776

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2022.3182142

关键词

Routing; Logic gates; Indexes; Routing protocols; Energy efficiency; Wireless sensor networks; Packet loss; Candidate relay selection (CRS); intrabody nanonetworks; mobility gradient (MG) model; opportunistic routing; relative position (RP) model

资金

  1. National Natural Science Foundation of China [61772471]

向作者/读者索取更多资源

This article proposes a flow-guided opportunistic routing (FGOR) protocol for intrabody nanonetworks to improve throughput and reduce energy consumption using a relative position (RP) model and a mobility gradient (MG) model.
The advancement of nano communication has opened the door for the development of intrabody medical application services. Flow-guided nano-communication networks have gained major attraction in recent years as an effective solution for intrabody sensing and actuation. This article builds a three-layer vertical network structure for intrabody nanonetworks, i.e., nano nodes, nano routers, and gateway, where data packets generated by nano nodes are relayed to the gateway through nano routers or other nodes. However, how to guarantee the data transmission through the way of multiple hops in such a scenario is an unsolved challenge. In order to improve the throughput and reduce the energy consumption of intrabody nanonetworks in a single-flow environment where the nano devices are restricted, a flow-guided opportunistic routing (FGOR) protocol is proposed. In FGOR, a relative position (RP) model is proposed to formulate the criterion for candidate relay selection (CRS) and enable the nodes' direction awareness to the gateway. Moreover, the CRS criterion is redesigned through a mobility gradient (MG) model further derived from the RP model. The candidate nodes are prioritized based on node ID, available energy, and RP information of nodes to perform backoff forwarding for decreasing transmission redundancy. Simulation results show that the RP model improves the throughput and significantly extends the lifecycle of intrabody nanonetwork by reducing the energy consumption. Compared with the RP model, the MG model performs better in terms of delay and successful transmission rate, especially within the circulation environment of intrabody.

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