Energy Efficient Time Synchronization Protocol for Wireless Sensor Networks

Gautam, Gopal Chand; Sharma, Teek Parval

doi:10.1007/978-3-642-22709-7_42

Cited by 2 publications

(4 citation statements)

References 9 publications

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“…(i) Accuracy is one of the key factors of sync protocols [18,[25][26][27][28]. The more accurate the protocol, the more the energy saved by sending nodes to sleep mode without any difficulties.…”

Section: Classification Criteria and Evaluation Metricsmentioning

confidence: 99%

“…(i) Complexity is another concern of researchers [25][26][27]29] as computation load is the second most energy consuming activity that a sensor node can have. Statistical methods normally have high computation load.…”

Section: Classification Criteria and Evaluation Metricsmentioning

confidence: 99%

“…(ii) Robustness against node failure describes the behavior of the protocol on node failure [19,25,[27][28][29]. In many protocols, there is one or various special node(s) that other nodes get synced with.…”

Section: Classification Criteria and Evaluation Metricsmentioning

confidence: 99%

“…(iii) Scalability describes the behavior of the protocol if number of hops are increased in the network [19,[27][28][29]. In this review, the accuracy of single-hop and multihop scenarios is normally compared.…”

Section: Classification Criteria and Evaluation Metricsmentioning

confidence: 99%

See 3 more Smart Citations

Message Passing Based Time Synchronization in Wireless Sensor Networks: A Survey

Sarvghadi

Wan

2016

International Journal of Distributed Sensor Networks

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Various protocols have been proposed in the area of wireless sensor networks in order to achieve network-wide time synchronization. A large number of proposed protocols in the literature employ a message passing mechanism to make sensor node clocks tick in unison. In this paper, we first classify Message Passing based Time Synchronization (MPTS) protocols and then analyze them based on different metrics. The classification is based on the following three criteria: structure formation of the network affected by the synchronization protocol, frequency of synchronization process (synchronization interval), and synchronization message overhead. Proposed protocols are analyzed and evaluated from different perspectives based on available data. A comparison table of the reviewed protocols is presented according to the evaluation metrics. Finally, some potential methods will be proposed to improve the synchronization process.

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Section: Classification Criteria and Evaluation Metricsmentioning

confidence: 99%