In terms of underwater surveillance, UWSNs are considered as a tangible, low cost solution. In these networks, sensor nodes are deployed at various depths in underwater and communicate with other networked floating nodes (e.g., buoys) on the surface and other communications equipment installed in ma
Increasing Throughput & Lifetime using Depth Base Routing in Underwater Wireless Sensor Network Bases on Real Time Data of Oceans
In terms of underwater surveillance, UWSNs are considered as a tangible, low cost solution. In these networks, sensor nodes are deployed at various depths in underwater and communicate with other networked floating nodes (e.g., buoys) on the surface and other communications equipment installed in maritime and airborne vehicles (e.g., ships, aircraft, and satellites). Most of today’s underwater surveillance systems are equipped with sonar-array based target tracking algorithms. Sonar arrays are based on acoustic wave technology since they can provide long-range communications in underwater. Acoustic waves however result in poor performance in shallow water environments and have extremely low data rates and therefore deemed impractical for on demand real-time target tracking applications. Moreover, acoustic transmission is affected by multi-path propagation, susceptibility to environmental noise, turbidity, salinity gradients, pressure gradients, and adverse impact on marine life. Therefore, electromagnetic (EM) transmissions have been considered as a better alternative for UWSNs. Despite having a relatively shorter range, EM technology is a promising technology for UWSNs as they can provide much higher data rates than those achievable with acoustic waves in harsh environments with no direct path. This new breed of UWSNs can provide real-time deep-sea oil and gas explorations, military surveillance, search and rescue operations, and target tracking based on real time experimental data to monitor illegal, unreported, and unregulated fishing. By and large, underwater surveillance systems have three main characteristics: 1: Target Detection, 2: Target Identification, 3: Target Tracking of submerged targets (localization). We want to look at this problem in context of e-navigation; bringing existing and new technologies together to improve safety of navigation, commercial efficiency, and security. Challenge for industry working through international maritime organization (IMO) will be to produce unified strategy for integration and to develop systems to meet the requirements through S-mode.
1: Reviewing of previous notable work of depth-based routing to examine their deficiencies in terms of network throughput.
2: Devising of proposed solutions and their formulas to tackle with the above-examined deficiencies of routing schemes.
3: Formulation of improved depth-based routing technique to enhance throughput and lifetime in UWSNs. We will evaluate and simulate the performance of our proposed scheme and their comparisons with previous depth-based routing protocols using MATLAB simulator in terms of network throughput and stability period.
In this work, we aim to design moving towards coverage holes of the network. This will improve network throughput and lifetime which is very important for data-critical applications. Details of the research objective phases are as follows.
A. Theoretical study
1: Reviewing of previous notable work of depth-based techniques to examine their deficiencies in terms of network throughput.
2: Devising solutions to tackle with the above-examined deficiencies of routing schemes.
3: Formulation of improved depth-based technique to enhance throughput and lifetime in UWSNs.
B. Experimental Study
We will evaluate and simulate the performance of our proposed scheme and their comparisons with previous depth-based techniques using MATLAB simulator in terms of network throughput and stability period. We will also utilize our previous scientific work to improve our proposed work.
1: Impact on Research Community:
To develop and add new dimensions, we shall equate our work with previously conducted research. We will share our findings with the entire research community through an international conference. This will give us an opportunity to explore and take input in a broader context. Presenting our work to different research institutions, as well as writing in a blog or essay form, would give us an opportunity to address large community. This way, seeing our research goals, priorities and sharing or publishing findings will be useful to the large community. This can help them understand this problem better and allow them to make advances in other research areas. If we receive feedback so we can look at our desired objectives or projected outcomes from another point of view; so, we can revise our objectives in a way that can benefit the research community. These activities will be completed in the first half of this research project so that the desired changes can be done with in an allocated time. Peer review and recommendations from experts in this field and industry professionals would be useful in determining the quality of our research goals and objectives.
2: Impact on marine life and environment:
While deploying UWSNs multiple considerations are taken in account like how it will impact marine ecosystem and animal life. So, while designing UWSNs real time parameters play effective role in deciding transmitter power. Then we just need to transmit only as much as needed. As we are moving towards green energy; the fundamental concept behind the design and implementation of efficient system is to use energy at lowest possible transmission. It will not only save energy but also effects minimum underwater environment. Criteria for assessment will be while characterizing Indian Ocean channel behavior will be how much our results come near to real behavior of ocean. Second most important thing that we must keep in mind it should not be harmful for underwater ecosystem.
UWSN localization is a very challenging problem due to the unavailability of the Global Positioning System (GPS) underwater. By improving energy efficiency, we can limit these constraints for any UWSN. While deploying UWSNs there are multiple considerations are taken like how it will impact underwater environment and animal life. So, while designing UWSNs real time parameters play effective role in deciding transmitter power. Then we must transmit only as much as needed. As we are moving towards green energy; basic idea behind designing and implementing energy efficient system is to use lowest possible transmission energy. It will not only save energy but also effects minimum underwater environment.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| ports Camera, WiFi 4K Waterproof Helmet Sports Camera with 2 inch LCD | Equipment | 6 | 7500 | 45000 |
| SCN200.0002 Underwater Communications Library 1 1,042.00$ 1,042.00$ SN | Equipment | 1 | 22924 | 22924 |
| Total in (Rs) | 67924 |
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