scholarly journals Fault Tolerant Line-Based Barrier Coverage Formation in Mobile Wireless Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Jie Shen ◽  
Zhibo Wang ◽  
Zhi Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Fundamental Problem ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Barrier Coverage ◽  
Localization Algorithm ◽  
Mobile Sensor ◽  
Location Errors ◽  
Mobile Sensor Nodes

Barrier coverage is a fundamental problem for lots of applications in wireless sensor networks. In reality, sensor nodes’ true locations may not be known to us considering that not every sensor node is equipped with a GPS. The measured locations of sensor nodes obtained by applying node localization algorithm often have errors, which makes it difficult to form a line-based barrier with mobile sensor nodes. In this paper, we study how to efficiently schedule mobile sensor nodes to form a barrier when sensor nodes suffer from location errors. We explore the relationship between the existence of uncovered hole and location errors and find that the lengths of uncovered holes are decided by the cumulative location errors. We also propose a method in frequency domain to efficiently calculate the distributions of the cumulative location errors. The possibility of the existence of uncovered holes can be derived by analyzing the step responses of the cumulative location errors. Extensive experimental results demonstrate the effectiveness of the proposed algorithm.

scholarly journals Improved Network Lifetime in Mobile Wireless Sensor Networks using Adaptive Algorithms

2019 ◽  
Vol 8 (2) ◽  
pp. 2131-2135
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Mobile Sensor ◽  
Mobile Wireless ◽  
Battery Power ◽  
Mobile Sensor Nodes ◽  
Mobile Wireless Sensor

Mobile Wireless Sensor Networks (MWSNs) have gained a lot of attention because of their applicability in different types of applications such as environment, healthcare, agriculture, industry automation, public safety, security and military surveillance. MWSNs are suffered from poor network lifetime because of the continuous disconnections between the mobile sensor nodes as they have limited battery power. This paper proposed and implement an adaptive algorithm(d-DSR) (implemented in DSR routing protocol) using ns-2.34,that handles the continuous disconnections because of low battery power of the mobile sensor nodes and improves the performance of the network in terms of throughput, packet delivery fraction, delay and network lifetime.

An Enhanced DV-Hop Localization Algorithm for Wireless Sensor Networks

2012 ◽  
Vol 2 (2) ◽  
pp. 16-35 ◽  
Author(s):  
Shrawan Kumar ◽  
D. K. Lobiyal
Keyword(s):  
Wireless Sensor Networks ◽  
Linear Programming ◽  
Sensor Networks ◽  
Problem Formulation ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Location Accuracy ◽  
Localization Accuracy ◽  
Error Terms

Obtaining precise location of sensor nodes at low energy consumption, less hardware requirement, and little computation is a challenging task. As one of the well-known range-free localization algorithm, DV-Hop can be simply implemented in wireless sensor networks, but it provides poor localization accuracy. Therefore, in this paper, the authors propose an enhanced DV-Hop localization algorithm that provides good localization accuracy without requiring additional hardware and communication messages in the network. The first two steps of proposed algorithm are similar to the respective steps of the DV-Hop algorithm. In the third step, they first separate error terms (correction factors) of the estimated distance between unknown node and anchor node. The authors then minimize these error terms by using linear programming to obtain better location accuracy. Furthermore, they enhance location accuracy of nodes by introducing weight matrix in the objective function of linear programming problem formulation. Simulation results show that the performance of our proposed algorithm is superior to DV-Hop algorithm and DV-Hop–based algorithms in all considered scenarios.

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