An energy-aware and load balanced distributed geographic routing algorithm for wireless sensor networks with dynamic hole
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
http://link.springer.com/content/pdf/10.1007/s11276-019-02157-6.pdf
Reference32 articles.
1. Jones, J., & Atiquzzaman, M. (2007). Transport protocols for wireless sensor networks: State-of-the-art and future directions. International Journal of Distributed Sensor Networks,3(1), 119–133.
2. Mavromoustakis, C. X., & Karatza, H. D. (2010). Real-time performance evaluation of asynchronous time division traffic-aware and delay-tolerant scheme in ad hoc sensor networks. International Journal of Communication Systems,23(2), 167–186.
3. Khan, W. Z., et al. (2016). A cost analysis framework for claimer reporter witness based clone detection schemes in WSNs. Journal of Network and Computer Applications,63, 68–85.
4. Rashid, B., & Rehmani, M. H. (2016). Applications of wireless sensor networks for urban areas: A survey. Journal of Network and Computer Applications,60, 192–219.
5. Ahmed, N., Kanhere, S. S., & Jha, S. (2005). The holes problem in wireless sensor networks: a survey. ACM Sigmobile Mobile Computing And Communications Review,9(2), 4–18.
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