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| Title | Analysis Of Optimized Algorithms For Quality Of Service In Iot Communication |
|---|---|
| ID_Doc | 9237 |
| Authors | Tomer U.; Gandhi P. |
| Year | 2023 |
| Published | Lecture Notes in Electrical Engineering, 1040 LNEE |
| DOI | http://dx.doi.org/10.1007/978-981-99-2271-0_39 |
| Abstract | The Internet of Things (IoT) has evolved over the last decade to connect a massive number of objects. These connected objects provide a vast number of services to enhance the daily life of end users. The Internet of Things is based on integrating several processes, like networking, sensing, identification, and computation. Many IoT applications like health, agriculture, logistics, retail, transport, smart cities, remote control, process automation, smart metering, etc., can be grouped into different fields. The Internet of Things (IoT) was used for automating human life during the provision of its services. This incredible technology has the potential to improve and ease human life significantly. Quality of Service Enhancement metrics must be clearly defined to enhance the popularity of any service. This paper puts forward a detailed analysis of algorithms for optimizing Quality of Service (QoS) in IoT. This review identifies and describes various IoT quality of service metrics enhancement through optimization, keeping in mind that the three pillars of IoT that are computing, communication and things. Author presents a review of highlights of different securities and privacy issues and conclude that optimization provides advantages in different applications of IoT considering the significance of QoS metrics such as power consumption, life time, and latency. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. |
| Author Keywords | Communication; Computing; Energy consumption; IoT; Optimization; QoS; QoS metrics |
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