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Localization System Optimization in Wireless Sensor Networks (LSO-WSN)

Localization System Optimization in Wireless Sensor Networks (LSO-WSN)

Surjit Singh, Rajeev Mohan Sharma
Copyright: © 2017 |Pages: 34
ISBN13: 9781522505013|ISBN10: 1522505016|EISBN13: 9781522505020
DOI: 10.4018/978-1-5225-0501-3.ch001
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MLA

Singh, Surjit, and Rajeev Mohan Sharma. "Localization System Optimization in Wireless Sensor Networks (LSO-WSN)." Handbook of Research on Wireless Sensor Network Trends, Technologies, and Applications, edited by Narendra Kumar Kamila, IGI Global, 2017, pp. 1-34. https://doi.org/10.4018/978-1-5225-0501-3.ch001

APA

Singh, S. & Mohan Sharma, R. (2017). Localization System Optimization in Wireless Sensor Networks (LSO-WSN). In N. Kamila (Ed.), Handbook of Research on Wireless Sensor Network Trends, Technologies, and Applications (pp. 1-34). IGI Global. https://doi.org/10.4018/978-1-5225-0501-3.ch001

Chicago

Singh, Surjit, and Rajeev Mohan Sharma. "Localization System Optimization in Wireless Sensor Networks (LSO-WSN)." In Handbook of Research on Wireless Sensor Network Trends, Technologies, and Applications, edited by Narendra Kumar Kamila, 1-34. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0501-3.ch001

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Abstract

Localization of nodes in wireless sensor networks is needed to track/know the event origin and node location both, routing, network coverage and querying of sensor clusters. Wireless Sensor Networks (WSN) have different applications along with different challenges. Here, position information system is one of the challenging aspect that plays an important role in increasing the lifetime and survivability of WSN. And, the computational techniques have been successfully used in recent years to address the localization system of nodes in WSN. However it is very difficult to know about the best computational technique for optimizing localization system of nodes. This work intends to close the gap for selecting suitable computational technique for node localization system optimization. Our aim is to provide a better understanding of the current research trends in this field.

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