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Performance Evaluation of Quality of Service in IEEE 802.15.4-Based Wireless Sensor Networks

Performance Evaluation of Quality of Service in IEEE 802.15.4-Based Wireless Sensor Networks

Sanatan Mohanty, Sarat Kumar Patra
Copyright: © 2020 |Pages: 35
ISBN13: 9781799824541|ISBN10: 1799824543|EISBN13: 9781799824558
DOI: 10.4018/978-1-7998-2454-1.ch031
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MLA

Mohanty, Sanatan, and Sarat Kumar Patra. "Performance Evaluation of Quality of Service in IEEE 802.15.4-Based Wireless Sensor Networks." Sensor Technology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 644-678. https://doi.org/10.4018/978-1-7998-2454-1.ch031

APA

Mohanty, S. & Patra, S. K. (2020). Performance Evaluation of Quality of Service in IEEE 802.15.4-Based Wireless Sensor Networks. In I. Management Association (Ed.), Sensor Technology: Concepts, Methodologies, Tools, and Applications (pp. 644-678). IGI Global. https://doi.org/10.4018/978-1-7998-2454-1.ch031

Chicago

Mohanty, Sanatan, and Sarat Kumar Patra. "Performance Evaluation of Quality of Service in IEEE 802.15.4-Based Wireless Sensor Networks." In Sensor Technology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 644-678. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2454-1.ch031

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Abstract

Wireless Sensor Network (WSN) consists of many tiny, autonomous sensor nodes capable of sensing, computation and communication. The main objective of IEEE 802.15.4 based WSN standard is to provide low cost, low power and short range communication. Providing QoS in WSN is a challenging task due to its severe resource constraints in terms of energy, network bandwidth, memory, and CPU. In this chapter, Quality of Service (QoS) performance evaluation has been carried out for IEEE 802.15.4 networks based WSN star and mesh topology using routing protocols like AODV, DSR and DYMO in QualNet 4.5 simulator. Performance evaluations metrics like Packet Delivery Ratio (PDR), throughput, average end to end delay, energy per goodput bit, network lifetime of battery model and total energy consumption which includes transmission, reception, idle and sleep mode were considered for both the topology. From the simulation studies and analysis, it can be seen that on an average DSR and DYMO performs better than AODV for different traffic load rates.

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