A Markov chain model for IEEE 802.15.4 in time critical wireless sensor networks under periodic traffic with reneging packets

2021 ◽  
Author(s):  
Hossein Hadadian Nejad Yousefi ◽  
Yousef Kavian ◽  
Alimorad Mahmoudi
Keyword(s):  
Wireless Sensor Networks ◽  
Markov Chain ◽  
Sensor Networks ◽  
Ieee 802.15.4 ◽  
Markov Chain Model ◽  
Wireless Sensor ◽  
Chain Model ◽  
Periodic Traffic ◽  
Time Critical

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

Evaluating the Performance of the IEEE 802.15.4 Standard in Supporting Time-Critical Wireless Sensor Networks

2011 ◽  
pp. 142-158
Author(s):  
Carlos Lino ◽  
Carlos Tavares Calafate ◽  
Pietro Manzoni ◽  
Juan-Carlos Cano ◽  
Arnoldo Díaz
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Ieee 802.15.4 ◽  
Wireless Sensor ◽  
Critical Events ◽  
Routing Overhead ◽  
Monitoring Time ◽  
Important Research Topic ◽  
Ieee 802.15.4 Standard ◽  
Time Critical

The performance of wireless sensor networks (WSNs) at monitoring time-critical events is an important research topic, mainly due to the need to ensure that the actions to be taken upon these events are timely. To determine the effectiveness of the IEEE 802.15.4 standard at monitoring time-critical events in WSNs, we introduce a routing scheme based on drain announcements that seeks minimum routing overhead. We carried out a novel performance evaluation of the IEEE 802.15.4 technology under different conditions, to determine whether or not near-real-time event monitoring is feasible. By analyzing different simulation metrics such as packet loss rate, average end-to-end delay, and routing overhead, we determine the degree of effectiveness of the IEEE 802.15.4 standard at supporting time-critical tasks in multi-hop WSNs, evidencing its limitations upon the size and the amount of traffic flowing through the network.

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.

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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