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• W4285175035 abstract "Today, the Internet has become an integral part of people's lives, so that it is impossible for some people to imagine life without the Internet. With the spread of the Internet, and the diversity of Internet use, a new type of Internet use called the Internet of Things (IoT) has emerged. In the Internet of Things, information is collected, managed, and communicated in the daily life of man through the Internet. In this chapter, an improved method Low power and Lossy Network is proposed to control and monitor the Alzheimer's patient in the cloud robot on the Internet of Things in smart homes. In the proposed method, load balancing in the routing protocol in LLN networks based on RPL is presented. The proposed method improves the structure of the P2P (pair-to-pair) path. Data packets are sent as RPL sorted and irregular. Paths sent in P2P mode have been improved to reduce computational overhead and balance load on the network. Elimination of control messages and load balancing in routing are among the advantages of the proposed method. The proposed method is compared with the RPL base car, and experiments based on a test environment will be performed in NS2 software. The results show that the ENRPL proposed in this study performs better in P2P communications and improves path construction in P2P and data transmission. It also affects the efficiency of MP2P point-to-point transmission of data. The results of the proposed method show that the proposed method is much more effective for sending data and creating load balance. The proposed ENRPL method, based on the removal and reduction of control messages, also shows a significant improvement over conventional RPL." @default.
• W4285175035 created "2022-07-14" @default.
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• W4285175035 date "2022-01-01" @default.
• W4285175035 modified "2023-09-30" @default.
• W4285175035 title "Improving Monitoring and Controlling Parameters for Alzheimer’s Patients Based on IoMT" @default.
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• W4285175035 doi "https://doi.org/10.1007/978-981-19-2057-8_8" @default.
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