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• W3005222616 abstract "Wireless sensor network (WSN) has emerged as a major part of the Internet of Things (IoT) and their collaboration helps in the formation of a smart environment. The usability of WSN has gained impetus with the advancement in the field of wireless technology. The impact of this growth can be seen in expanded smart city applications that have enhanced the living standards of citizens. In a smart city, millions of sensors are deployed in various intelligent applications like smart homes, smart transportation, smart industries, smart parking, and so forth to make the city smarter and efficient. These applications continuously generate a huge amount of data to provide innovative services to citizens. Therefore, an efficient collection of this data is utmost important to make an effective decision for the betterment of society. The sensor nodes work in collaboration to send the collected data to the base station. In WSN, the sensor nodes have resource constraints like low power and limited communication range. So, as a result, in reference to sensor processing, the continuous stream of data generated by sensor nodes need to be processed and delivered to the end-user in the optimal lapse of time. One promising approach to accomplish these needs is to collaborate among the sensors and sink in an efficient way to reduce the transmission cost. Recent research showed the emergence of several data collection approaches as data aggregation, data compression, optimal deployment of sinks and sink mobility. These approaches mainly aim specifically to reduce consumption of energy, time delay management and maximize the network lifetime. Referring to this context, this chapter discusses challenges in the field of data collection approaches and proposes possible future directions." @default.
• W3005222616 created "2020-02-14" @default.
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• W3005222616 date "2020-01-01" @default.
• W3005222616 modified "2023-10-14" @default.
• W3005222616 title "Energy Efficient Data Collection in Smart Cities Using IoT" @default.
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• W3005222616 doi "https://doi.org/10.1007/978-3-030-40305-8_30" @default.
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