On the Energy Efficiency of LT Codes in Proactive Wireless Sensor Networks

Abouei, Jamshid; Brown, Joanna; Plataniotis, Konstantinos N.; Pasupathy, S.

doi:10.1109/tsp.2010.2094193

Cited by 28 publications

(5 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These algorithms are some of the most successful examples of swarm intelligence systems. Ant colony optimization algorithms have been applied to many types of problems such as typical tourist agency problems in order to optimize the problems of communication networks [20,[24][25][26].…”

Section: Design Principlesmentioning

confidence: 99%

A Self-Deployment Algorithm for Maintaining Maximum Coverage and Connectivity in Underwater Acoustic Sensor Networks Based on an Ant Colony Optimization

Wang

Li-liang

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

The self-deployment of nodes with non-uniform coverage in underwater acoustic sensor networks (UASNs) is challenging because it is difficult to access the three-dimensional underwater environment. The problem is further complicated if network connectivity needs to be considered. In order to solve the optimization problem of sensor network node deployment, we propose a maximum coverage and connectivity self-deployment algorithm that is based on ant colony optimization (MCC-ACO). We carry out the greedy strategy, improve the path selection probability and pheromone update system, and propose a self-deployment algorithm based on the foundation of standard ant colony optimization algorithms, so as to achieve energy-saving optimization coverage of target events. The main characteristic of the MCC-ACO algorithm is that it fully considers the effects of the changes in the event quantities and the random distribution of the nodes on the deployment effect of the nodes, ensures that every deployed node can be connected to the sink, and achieves the matching of node distribution density and event distribution. Therefore, the MCC-ACO algorithm has great practical value. A large number of comparative simulation experiments show that the algorithm can effectively realize the self-deployment problem of underwater sensor nodes. In addition, the paper also gives the impact of changes in the number of events in the network on the deployment effect.

show abstract

Section: Design Principlesmentioning

confidence: 99%

A Self-Deployment Algorithm for Maintaining Maximum Coverage and Connectivity in Underwater Acoustic Sensor Networks Based on an Ant Colony Optimization

Wang

Li-liang

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Ring-based Energy Aware Routing (REAR) protocol can also be used in WSNs because it can achieve both energy balancing and EE for all sensor nodes through CT [20]. Adhoc On-demand Distance Vector Routing (AODV) which is a reactive routing protocol, Destination-Sequenced Distance Vector (DSDV) routing which is a proactive [24] routing protocol and Low-Energy Adaptive Clustering Hierarchy (LEACH). The above mentioned algorithms and their CT concepts are different because same topology is approached with different routing protocols.…”

Section: A Energy-efficient Routing Protocolsmentioning

confidence: 99%

Analytical Model of Energy Saving Approach in Wireless Sensor Network

Thayananthan

Bahazaq

2014

2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation

View full text Add to dashboard Cite

Applications for wireless networks are increasing because basic facilities in our daily life are depending on modern communication networks which include routing protocols and energy efficient algorithms. Future Multipleinput, multiple-output (MIMO) wireless applications and research challenges related to energy saving are also considered in this research. In this research, we propose an energy saving model for future wireless applications based on wireless sensor network (WSN). This model can also be utilized to maximize the total energy efficiency (EE) in existing WSN and other wireless network. In this model, Pn-manifold will be used as a method, which helps us to minimize the dimensions of the channel matrix that uses in the MIMO system. Dimensions related to rank of the matrix control the energy of the WSN involved with MIMO communication. Manifolds are applied in MIMO system, which enhances the efficiency of communication channel. Also, it provides less energy consumption, which reduces the overall cost in energy saving model. Feedback and computation of quantization considered with Pn-manifold provides better results in the analytical analysis.

show abstract

“…The best choice of would be when 2 ) ( ) ( (12) With this threshold, the average bit error probabilities would be (13) When the receiver has prior knowledge of p 0 and p 1 , the approach would be to choose that minimizes P b (14) Differentiating this probability with respect to and solving for we obtain (15) When p 0 is larger, is reduced so that the average bit error probability P b is reduced. Similarly when p 1 is larger, is increased so that the average bit error probability P b is reduced.…”

Section: A Assumptions and Representationsmentioning

confidence: 99%

“…Sub carrier Intensity Modulated Systems are presented in Popoola et al and Lin et al [1], [12].Analysis on FSK based LT coded Systems for proactive WSNs are presented in Abouei J et al [13].…”

Section: Introductionmentioning

confidence: 99%

BER performance and energy efficiency of Luby Transform codes with varying BPSK thresholds over the Free Space Optical channel

Prakash

Kulkarni

Sripati

2013

2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

View full text Add to dashboard Cite

In this paper we analyse the Bit Error Rate(BER) performance and energy efficiency of Luby Transform (LT) codes when the signals are Binary Phase shift Keying (BPSK )modulated with varying thresholds and transmitted over the Free Space Optical (FSO)Channel in a wireless sensor network. We model the FSO channel using the Gamma-Gamma distribution function and compare the performance for varied turbulence parameters. We also show how the distribution of the BPSK symbols varies as the distribution varies when the turbulence changes from strong to weak. Use of forward error correction helps in the recovery of the original signal even if some transmitted signals are corrupted during transmission. We analyse the FSO system, which employs Luby Transform Codes, which do not have a fixed code rate. They are considered Rateless,and as many codewords are generated as required to recover all the message bits. We show an increase in SNR and reduced energy per bit for the same BER with LT codes as the BPSK threshold increases .

show abstract

On the Energy Efficiency of LT Codes in Proactive Wireless Sensor Networks

Cited by 28 publications

References 29 publications

A Self-Deployment Algorithm for Maintaining Maximum Coverage and Connectivity in Underwater Acoustic Sensor Networks Based on an Ant Colony Optimization

A Self-Deployment Algorithm for Maintaining Maximum Coverage and Connectivity in Underwater Acoustic Sensor Networks Based on an Ant Colony Optimization

Analytical Model of Energy Saving Approach in Wireless Sensor Network

BER performance and energy efficiency of Luby Transform codes with varying BPSK thresholds over the Free Space Optical channel

Contact Info

Product

Resources

About