Multiobjectives for Optimal Geographic Routing in IoT Health Care System
نویسندگان
چکیده
In numerous internet of things (IoT) appliances, messages might require to be distributed certain specified nodes or objects with the multicast transmission. “The routing protocol can divided into nongeographic based and geographic based.” As locations device are roughly extracted by GPS devices, geographic-oriented schemes were chosen, because it induces lesser overheads. Nevertheless, extant models found have particular disadvantages. After advent IoT systems for remote healthcare, medical services rapidly provided patients in rural areas. The network encapsulates flexible sensors environment collect environmental information. This gathered sensor information is sent nursing stations timely assistance. wireless, which leads security breaches. Therefore, there a necessity secured data transmission context healthcare. Hence, this study intends propose novel optimal route selection model healthcare deploying optimized ANFIS. Here, routes selected using new self-adaptive jellyfish search optimizer (SA-JSO) that enhanced edition JSO model. Accordingly, performed under consideration “energy, distance, delay, overhead, trust, quality service (QoS), (high risk, low medium risk).” end, performances adopted work compared proved over other schemes.
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ژورنال
عنوان ژورنال: Complexity
سال: 2022
ISSN: ['1099-0526', '1076-2787']
DOI: https://doi.org/10.1155/2022/7568804