Four-dimensional Markov chain model of single-hop data aggregation with IEEE 802.15.4 in wireless sensor networks

2012 ◽  
Vol 18 (5) ◽  
pp. 469-479 ◽  
Author(s):  
Xiaoyun Li ◽  
David K. Hunter
Keyword(s):  
Wireless Sensor Networks ◽  
Markov Chain ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Ieee 802.15.4 ◽  
Markov Chain Model ◽  
Wireless Sensor ◽  
Chain Model

scholarly journals Markov Chain Model-Based Optimal Cluster Heads Selection for Wireless Sensor Networks

Sensors ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 440 ◽  
Author(s):  
Gulnaz Ahmed ◽  
Jianhua Zou ◽  
Xi Zhao ◽  
Mian Sadiq Fareed
Keyword(s):  
Wireless Sensor Networks ◽  
Markov Chain ◽  
Sensor Networks ◽  
Markov Chain Model ◽  
Wireless Sensor ◽  
Chain Model ◽  
Cluster Heads ◽  
Model Based ◽  
Selection For ◽  
Optimal Cluster

scholarly journals A Novel Cooperative ARQ Method for Wireless Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Haiyong Wang ◽  
Geng Yang ◽  
Yiran Gu ◽  
Jian Xu ◽  
Zhixin Sun
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Markov Chain Model ◽  
Relay Node ◽  
Wireless Sensor ◽  
System Throughput ◽  
Chain Model ◽  
Channel Fading ◽  
Relay Nodes

In wireless sensor networks, cooperative communication can combat the effects of channel fading by exploiting diversity gain achieved via cooperation communication among the relay nodes. A cooperative automatic retransmission request (ARQ) protocol based on two-relay node selection was proposed in this paper. A novel discrete time Markov chain model in order to analyze the throughput and energy efficiency was built, and system throughput and energy efficiency performance of proposed protocol and traditional ARQ protocol were studied based on such model. The numerical results reveal that the throughput and energy efficiency of the proposed protocol could perform better when compared with the traditional ARQ protocol.

A Stochastic Time-Domain Model for Burst Data Aggregation in IEEE 802.15.4 Wireless Sensor Networks

2015 ◽  
Vol 64 (3) ◽  
pp. 627-639 ◽  
Author(s):  
Mohammad Sayad Haghighi ◽  
Yang Xiang ◽  
Vijay Varadharajan ◽  
Barry Quinn
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Time Domain ◽  
Data Aggregation ◽  
Ieee 802.15.4 ◽  
Domain Model ◽  
Wireless Sensor ◽  
Burst Data ◽  
Stochastic Time

scholarly journals Improving the Performance Metric of Wireless Sensor Networks with Clustering Markov Chain Model and Multilevel Fusion

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Saeed Havedanloo ◽  
Hamid Reza Karimi
Keyword(s):  
Markov Chain ◽  
Ieee 802.15.4 ◽  
Markov Chain Model ◽  
Distributed Detection ◽  
Wireless Sensor ◽  
Chain Model ◽  
Detection Scheme ◽  
Fusion Centers ◽  
Performance Metric ◽  
Multilevel Fusion

The paper proposes a performance metric evaluation for a distributed detection wireless sensor network with respect to IEEE 802.15.4 standard. A distributed detection scheme is considered with presence of the fusion node and organized sensors into the clustering and non-clustering networks. Sensors are distributed in clusters uniformly and nonuniformly and network has multilevel fusion centers. Fusion centers act as heads of clusters for decision making based on majority-like received signal strength (RSS) with comparison the optimized value of the common threshold. IEEE 802.15.4 Markov chain model derived the performance metric of proposed network architecture with MAC, PHY cross-layer parameters, and Channel State Information (CSI) specifications while it is including Path-loss, Modulation, Channel coding and Rayleigh fading. Simulation results represent significant enhancement on performance of network in terms of reliability, packet failure, average delay, power consumption, and throughput.

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