| Title | Lifetime Analysis of Underwater Wireless Networks Concerning Privacy with Energy Harvesting and Compressive Sensing |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Uyan, O. Gokhan, Gungor, V. Cagri |
| Conference Name | 2019 27th Signal Processing and Communications Applications Conference (SIU) |
| Keywords | Batteries, civil operations, classical wireless sensor networks, compositionality, compressed sensing, compressive sensing, cryptography, data privacy, Encryption, energy conservation, Energy efficiency, energy harvesting, Human Behavior, improved network lifetime, integer programming, integrated limited batteries, invasion detection, lifetime, lifetime analysis, listening, Location Privacy in Wireless Networks, Metrics, military operations, mixed integer programming model, novel encryption decision method, Optimization, privacy, pubcrawl, Resiliency, silent positioning, telecommunication power management, underwater acoustic communication, underwater life monitoring, underwater sensor nodes, Underwater Wireless Networks, UWSN, Wireless sensor networks |
| Abstract | Underwater sensor networks (UWSN) are a division of classical wireless sensor networks (WSN), which are designed to accomplish both military and civil operations, such as invasion detection and underwater life monitoring. Underwater sensor nodes operate using the energy provided by integrated limited batteries, and it is a serious challenge to replace the battery under the water especially in harsh conditions with a high number of sensor nodes. Here, energy efficiency confronts as a very important issue. Besides energy efficiency, data privacy is another essential topic since UWSN typically generate delicate sensing data. UWSN can be vulnerable to silent positioning and listening, which is injecting similar adversary nodes into close locations to the network to sniff transmitted data. In this paper, we discuss the usage of compressive sensing (CS) and energy harvesting (EH) to improve the lifetime of the network whilst we suggest a novel encryption decision method to maintain privacy of UWSN. We also deploy a Mixed Integer Programming (MIP) model to optimize the encryption decision cases which leads to an improved network lifetime. |
| DOI | 10.1109/SIU.2019.8806241 |
| Citation Key | uyan_lifetime_2019 |
Lifetime Analysis of Underwater Wireless Networks Concerning Privacy with Energy Harvesting and Compressive Sensing