scholarly journals Hybrid Cross Layer Mechanism For High Reliability In Under Water Wireless Sensor Network

2019 ◽  
Vol 9 (1) ◽  
pp. 1372-1376
Keyword(s):  
Sensor Networks ◽  
Sensor Network ◽  
High Reliability ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Delivery Ratio ◽  
Data Delivery ◽  
Underwater Sensor Networks ◽  
Water Sensor ◽  
Hybrid Cross

Underwater sensor network finds lot of applications in sea environment monitoring. Tsunami like conditions can be monitored and reported earlier so that people on shores can be safe. Due to nature of medium, the data delivery ratio in under water sensor networks is very low. The various problems in the underwater sensor networks are crucial delay, Double side spreading, multipath induced fading, bandwidth limitation, Doppler effects. These problems reduce the data delivery ratio, network lifetime and other parameters.In order to increase the performance of the underwater communication system,Reed Solomon encoding technique with hybrid cross layer methodis used in physical, data link and routing layer . The proposed method increase the reliability of underwater wireless sensor networks.

scholarly journals Secure Trust Based Key Management Routing Framework for Wireless Sensor Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Jugminder Kaur ◽  
Sandeep S. Gill ◽  
Balwinder S. Dhaliwal
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Key Management ◽  
Secure Routing ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Data Delivery ◽  
Key Predistribution ◽  
Random Key Predistribution ◽  
Key Predistribution Scheme

Security is always a major concern in wireless sensor networks (WSNs). Several trust based routing protocols are designed that play an important role in enhancing the performance of a wireless network. However they still have some disadvantages like limited energy resources, susceptibility to physical capture, and little protection against various attacks due to insecure wireless communication channels. This paper presents a secure trust based key management (STKF) routing framework that establishes a secure trustworthy route depending upon the present and past node to node interactions. This route is then updated by isolating the malicious or compromised nodes from the route, if any, and a dedicated link is created between every pair of nodes in the selected route with the help of “q” composite random key predistribution scheme (RKPS) to ensure data delivery from source to destination. The performance of trust aware secure routing framework (TSRF) is compared with the proposed routing scheme. The results indicate that STKF provides an effective mechanism for finding out a secure route with better trustworthiness than TSRF which avoids the data dropping, thereby increasing the data delivery ratio. Also the distance required to reach the destination in the proposed protocol is less hence effectively utilizing the resources.

A DEPLOYMENT ALGORITHM FOR UNDERWATER SENSOR NETWORKS IN OCEAN ENVIRONMENT

2011 ◽  
Vol 20 (06) ◽  
pp. 1051-1066 ◽  
Author(s):  
LINFENG LIU
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Network Lifetime ◽  
Wireless Sensor ◽  
Underwater Sensor Networks ◽  
Cluster Shape ◽  
Simulation Results ◽  
Ocean Environment ◽  
Near Future

Underwater sensor networks will find many oceanic applications in near future, and the deployment problem in 3D sensor networks has not been paid enough attention at present. In order to maximize the network lifetime, a deployment algorithm (UDA) for underwater sensor networks in ocean environment is proposed. UDA can determine and select the best cluster shape, then partition the space into layers and clusters while maintaining full coverage and full connectivity. In addition, nodes closer to sinks are possible to bear a heavier data-relaying mission. UDA sets different node deployment densities at different layers in response to the potential relay discrepancy. The simulation results suggest UDA can choose the proper cluster shape to get the maximum underwater wireless sensor network lifetime approximately.

scholarly journals THE PERFORMANCE OF DIRECTIONAL FLOODING ROUTING PROTOCOL FOR UNDERWATER SENSOR NETWORKS

2015 ◽  
Vol 74 (9) ◽  
Author(s):  
Nur Asfarina Idrus ◽  
Jiwa Abdullah
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Underwater Sensor Networks ◽  
Underwater Communication ◽  
Routing Mechanism ◽  
Simulation Results ◽  
Networking Protocols

The specific characteristic of underwater environment introduces new challenges for the networking protocols. Underwater Wireless Sensor Networks (UWSN) and terrestrial Wireless Sensor Networks (WSN) share some common properties but their differences necessitate specialized new protocols for successful underwater communication. In this paper, a specialized protocol, known as Directional Flooding Routing Protocol is being chosen as the protocol to implement the routing mechanism for underwater sensor networks (UWSNs). The protocol is analyzed and evaluated. Simulation experiments have been carried out to find the suitability of various protocols for the sub aquatic transmission medium, whether in freshwater or seawater. The goal of this paper is to produce simulation results that would illustrate the performances of the protocol for a given metric such as end-to-end delay, packet delivery ratio and energy consumption. By analyzing the simulation results, DFR is considerably reliable for UWSN because this protocol is suitable for the sub aquatic transmission medium such as seawater.   

scholarly journals Wireless sensor network design for smart grids and Internet of things for ambient living using cross-layer techniques

2019 ◽  
Vol 15 (7) ◽  
pp. 155014771986220 ◽  
Author(s):  
Jaffar Ali ◽  
Javed Iqbal ◽  
Shabbir Majeed ◽  
Imran Ahmed Mughal ◽  
Awais Ahmad ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Smart Grids ◽  
Dominating Set ◽  
Connected Dominating Set ◽  
Packet Delivery Ratio ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Delivery Ratio ◽  
Packet Delivery

Due to the increased demand of wireless sensor networks for their characteristics like low energy consumption, robustness, and low cost in several demanding and complex applications like smart grid, health and safety, traffic and weather updates, there is need of monitoring the infrastructure in a timely manner with high reliability. In this article, a cross-layer data communication scheme target-aware cross-layer technique is proposed to enhance reliability and to reduce the latency in wireless sensor networks. The proposed scheme uses connected dominating set at network layer where nodes in the connected dominating set are directly connected to all the other nodes in the network. Each sensor node sends the data to the nodes present in the connected dominating set, which forwards it to their respective destinations. The proposed scheme reduces the chances of collision resulting reduced delays. Higher packet delivery ratio is achieved with the proposed scheme results in improved reliability. The proposed scheme is outperforming other state-of-the-art schemes in terms of packet delivery ratio, latency, and data throughput with the default 802.15.4 and delay-responsive cross layer in both static and mobile scenarios using network simulator tool.

A Novel and Enhanced Distributed Clustering Methodology for Large Scale Wireless Sensor Network Fields

2019 ◽  
Vol 16 (2) ◽  
pp. 633-638
Author(s):  
Hamid Ali Abed Al-Asadi
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Energy Efficient ◽  
Research Work ◽  
Low Energy ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Distributed Clustering ◽  
Adaptive Clustering

Wireless sensor network (WSN) is a grid of sensors possessing processor unit and trivial memory unit implanted on them. Trustworthy packet forwarding from nodes to sink seems to be the most substantial purpose of this sensor network. The customary routing algorithms could not be employed at this juncture since the sensor battery power is limited. To provide energy proficiency, sensors are normally grouped as non-overlapping groups. This research work provides a transitory summary on clustering procedures in sensor networks. An energy-efficient distributed clustering approach for impenetrable sensor networks, the Weight based clustering Low Energy Adaptive Clustering Hierarchy (WC-LEACH) is proposed and the outcomes are assessed in contradiction with the prevailing Low Energy Adaptive Clustering Hierarchy (LEACH) and Hybrid Energy Efficient Distributed Clustering (HEED) methodologies. Simulation results obviously display an exceptional enhancement in packet delivery ratio, reduced packet loss, reduced energy consumption, increased throughput and increased lifetime for WSNs.

scholarly journals An AUV-Aided Cross-Layer Mobile Data Gathering Protocol for Underwater Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4813
Author(s):  
Faisal Abdulaziz Alfouzan ◽  
Seyed Mohammad Ghoreyshi ◽  
Alireza Shahrabi ◽  
Mahsa Sadeghi Ghahroudi
Keyword(s):  
Sensor Networks ◽  
Network Performance ◽  
Data Gathering ◽  
Mac Protocols ◽  
Cross Layer ◽  
Delivery Ratio ◽  
Underwater Sensor Networks ◽  
Mobile Data ◽  
Packet Delivery ◽  
Mobile Data Gathering

Underwater sensor networks (UWSNs) have recently attracted much attention due to their ability to discover and monitor the aquatic environment. However, acoustic communication has posed some significant challenges, such as high propagation delay, low available bandwidth, and high bit error rate. Therefore, proposing a cross-layer protocol is of high importance to the field to integrate different communication functionalities (i.e, an interaction between data link layer and network layer) to interact in a more reliable and flexible manner to overcome the consequences of applying acoustic signals. In this paper, a novel Cross-Layer Mobile Data gathering (CLMD) scheme for Underwater Sensor Networks (UWSNs) is presented to improve the performance by providing the interaction between the MAC and routing layers. In CLMD, an Autonomous Underwater Vehicle (AUV) is used to periodically visit a group of clusters which are responsible for data collection from members. The communications are managed by using a distributed cross-layer solution to enhance network performance in terms of packet delivery and energy saving. The cluster heads are replaced with other candidate members at the end of each operational phase to prolong the network lifetime. The effectiveness of CLMD is verified through an extensive simulation study which reveals the performance improvement in the energy-saving, network lifetime, and packet delivery ratio with varying number of nodes. The effects of MAC protocols are also studied by studying the network performance under various MAC protocols in terms of packet delivery ratio, goodput, and energy consumption with varying density of nodes.

Latency and Energy Optimization Using MAC-Aware Routing for WSNs

2020 ◽  
Vol 16 (1) ◽  
pp. 19-27
Author(s):  
Sara Hebal ◽  
Lemia Louail ◽  
Saad Harous
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Protocol Stack ◽  
Average Latency ◽  
Simulation Results

Protocols for wireless sensor networks are generally designed following the layered protocol stack where layers are independent. Uncorrelated decisions coming from different layers may affect certain metrics such as the latency of communications, the energy consumption, etc. Cross-layer approaches overcome this problem by exploiting the dependencies between the layers. In this article, the authors propose latency and energy mac-aware routing for wireless sensor networks (LEMAR-WSN), a new cross-layer routing approach using information of the TDMA schedule and exploiting the information of the energy consumed by each node in order to optimize the latency of communications and the energy consumption when relaying information to the sink in a wireless sensor network. Simulation results show that the proposed approach improves the average latency of communications up to 20% and the average.

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