scholarly journals Performance Enhancement of Oil pipeline Monitoring for a Simulated Underwater Wireless Sensor Network

2020 ◽  
Vol 23 (3) ◽  
pp. 260-266
Author(s):  
Waseem M. Jassim ◽  
Ammar E. Abdelkareem
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Performance Enhancement ◽  
Data Transfer ◽  
Routing Algorithm ◽  
Wireless Sensor ◽  
Relay Nodes ◽  
Limited Bandwidth ◽  
Oil Pipeline

In the last two decades, underwater acoustic sensor networks have begun to be used for commercial and non-commercial purposes. In this paper, the focus will be on improving the monitoring performance system of oil pipelines. Linear wireless sensor networks are a model of underwater applications for which many solutions have been developed through several research studies in previous years for data collection research. In underwater environments, there are certain inherent limitations, like large propagation delays, high error rate, limited bandwidth capacity, and communication with short-range. Many deployment algorithms and routing algorithms have been used in this field. In this work a new hierarchical network model proposed with improvement to Smart Redirect or Jump algorithm (SRJ). This improved algorithm is used in an underwater linear wireless sensor network for data transfer to reduce the complexity in routing algorithm for relay nodes which boost delay in communication.  This work is implemented using OMNeT++ and MATLAB based on their integration. The results obtained based on throughput, energy consumption, and end to the end delay.

Multipath Routing Algorithm of Wireless Sensor Networks by Using Trust Model

2013 ◽  
Vol 325-326 ◽  
pp. 1032-1036
Author(s):  
Li Quan Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Multipath Routing ◽  
Trust Model ◽  
Secure Routing ◽  
Wireless Sensor ◽  
Trust Value

Multi-path routing is an important routing method for wireless sensor networks, which can ensure the reliability of data transmission, balance the consumption of nodes energy, meet the network service quality, etc. But it cant effectively resist the attacks from malicious node.This paper proposes a secure multipath routing algorithm based on trust model, which can effectively achieve the secure routing of wireless sensor network. The algorithm make trust evaluation for cluster head nodes, and use nodes trust value to measure the reliability of next hop node, then calculate the number of multipath that meet the expected secure requirement, so as to build the trust multipath routing. The simulation results show that the algorithm can effectively reduce the consumption of energy, prolong the lifetime of network, and ensure the routing security of wireless sensor network.

scholarly journals Load-balanced routing algorithm based on cluster heads optimization for wireless sensor networks

2018 ◽  
Vol 232 ◽  
pp. 04050
Author(s):  
Yong-wen Du ◽  
Zhang-min Wang ◽  
Gang Cai ◽  
Jun-hui Gong
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Residual Energy ◽  
Base Station ◽  
Wireless Sensor ◽  
Cluster Heads

In order to solve the problem of unbalanced load consumption of nodes for wireless sensor networks (WSNs), this paper proposes a load-balanced routing algorithm based on cluster heads optimization for wireless sensor network. The proposed algorithm first applies first-order wireless transmission model to calculate the optimal number of clusters, then calculate nodes competitiveness rating by fuzzy algorithm considering the residual energy of node and distance from the node to base station, cluster head selection uses unequal clustering algorithm according to the competitiveness of nodes. By node competitiveness and energy management mechanism which cooperate with each other to select the best cluster heads. Use connected optimization between clusters to search multi-hop paths base station for reducing energy consumption of node, and consider transmission energy consumption, residual energy, transmission distance and other factors. The experimental results show that the proposed algorithm compared with LEACH and UCDP algorithm, can balance loading and effectively extend the life cycle of wireless sensor network.

Small world routing algorithm of wireless sensor network

2010 ◽  
Vol 30 (9) ◽  
pp. 2497-2500
Author(s):  
Xiu-li REN ◽  
Jiang-ying DONG ◽  
Jian-sheng XUE
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Small World ◽  
Wireless Sensor

scholarly journals Investigating Master–Slave Architecture for Underwater Wireless Sensor Network

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3000
Author(s):  
Sadeeq Jan ◽  
Eiad Yafi ◽  
Abdul Hafeez ◽  
Hamza Waheed Khatana ◽  
Sajid Hussain ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Propagation Delay ◽  
Data Packet ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Term Survival ◽  
Limited Bandwidth ◽  
Delay Tolerant

A significant increase has been observed in the use of Underwater Wireless Sensor Networks (UWSNs) over the last few decades. However, there exist several associated challenges with UWSNs, mainly due to the nodes’ mobility, increased propagation delay, limited bandwidth, packet duplication, void holes, and Doppler/multi-path effects. To address these challenges, we propose a protocol named “An Efficient Routing Protocol based on Master–Slave Architecture for Underwater Wireless Sensor Network (ERPMSA-UWSN)” that significantly contributes to optimizing energy consumption and data packet’s long-term survival. We adopt an innovative approach based on the master–slave architecture, which results in limiting the forwarders of the data packet by restricting the transmission through master nodes only. In this protocol, we suppress nodes from data packet reception except the master nodes. We perform extensive simulation and demonstrate that our proposed protocol is delay-tolerant and energy-efficient. We achieve an improvement of 13% on energy tax and 4.8% on Packet Delivery Ratio (PDR), over the state-of-the-art protocol.

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