1. Sink-oriented tree based data dissemination protocol for mobile sinks wireless sensor networks
- Author
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Yaser Sharabi, Xingfu Wang, Ammar Hawbani, Esa Torbosh, Hassan Kuhlani, Rafia Ghoul, and Saleem Karmoshi
- Subjects
geography ,geography.geographical_feature_category ,Computer Networks and Communications ,business.industry ,Network packet ,Computer science ,Distributed computing ,ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS ,020206 networking & telecommunications ,02 engineering and technology ,Energy consumption ,Load balancing (computing) ,Sink (geography) ,Shortest path problem ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Tree based ,Electrical and Electronic Engineering ,business ,Dissemination ,Wireless sensor network ,Information Systems ,Computer network ,Efficient energy use - Abstract
Data dissemination toward static sinks causes the nearby nodes to deplete their energy quicker than the other nodes in the field (i.e., this is referred to as the hotspot problem). Accordingly, topology disruptions will occur and no data will be delivered to the sink. Mobile sinks are proposed to solve the hotspot problem in wireless sensor networks; they provide a load balancing and an energy consumption balancing for the whole network. However, sink mobility introduces new challenges (e.g., frequent location updates and packets delay). In this paper, we proposed a distributed sink-oriented dissemination protocol called Sink-oriented Tree based Data Dissemination (STDD). STDD constructs just one main dissemination tree for each mobile sink. When the access node is changed, the main tree will be updated and maintained to guarantee the shortest path to the mobile sinks. The updated and maintained tree is not a new tree; however, it is just a new version with only a few changes in a few levels of the main tree itself. Simulations show that STDD achieves a significant performance in terms of latency, network lifetime, delivery rate, and energy consumption compared with the state-of-the-art approaches.
- Published
- 2017
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