timesynchronization is common requirement for most network applications. It is particularly essential in a Wireless Sensor Networks (WSNs) to allow collective signal processing, proper correlation of diverse measurem...
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timesynchronization is common requirement for most network applications. It is particularly essential in a Wireless Sensor Networks (WSNs) to allow collective signal processing, proper correlation of diverse measurements taken from a set of distributed sensor elements and for an efficient sharing of the communication channel. The Flooding timesynchronization Protocol (FTSP) was developed explicitly for timesynchronization of wireless sensor networks. In this paper, we optimized FTSP for clock drift management using Particle Swarm Optimization (PSO), Variant of PSO and Differential Evolution (DE). The paper estimates the clock offset, clock skew, generates linear line and optimizes the value of average time synchronization error using PSO, Variant of PSO and DE. In this paper we present implementation and experimental results that produces reduced average time synchronization error using PSO, Variant of PSO and DE, compared to that of linear regression used in FTSP.
timesynchronization is a common requirement for most network applications. It is particularly essential in Wireless sensor networks (WSN) to allow collective signal processing, proper correlation of diverse measureme...
详细信息
ISBN:
(纸本)9783642245527;9783642245534
timesynchronization is a common requirement for most network applications. It is particularly essential in Wireless sensor networks (WSN) to allow collective signal processing, proper correlation of diverse measurements taken from a set of distributed sensor elements and for an efficient sharing of the communication channel. The Flooding timesynchronization Protocol (FTSP) was developed explicitly for timesynchronization of wireless sensor networks. In this paper, FTSP is optimized for clock drift management using Particle Swarm Optimization (PSO). The paper estimates the clock offset, clock skew and generates linear line and optimizes the value of average time synchronization error using PSO. This paper presents implementation and experimental results that produce reduced average time synchronization error optimized using PSO compared to that of linear regression used in FTSP.
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