Analysis of wireless sensor sleep mechanism with group arrival queuing model

2011 ◽  
Author(s):  
Zheng Liang ◽  
Songwei Ma ◽  
Qingshan Zhang
Keyword(s):  
Wireless Sensor ◽  
Queuing Model ◽  
Group Arrival ◽  
Sleep Mechanism

An Efficient Sleeping Scheduling for Saving Energy Consumption in Wireless Sensor Networks

2012 ◽  
Vol 229-231 ◽  
pp. 1261-1264
Author(s):  
Li Peng Lu ◽  
Ming Yue Zhai ◽  
Ying Liu ◽  
Xiao Da Sun
Keyword(s):  
Mathematical Model ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Smart Grid ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Reduce Energy Consumption ◽  
Battery Energy ◽  
Sleep Mechanism

Wireless Sensor Networks (WSNs) has been widely recognized as a promising technology in smart grid. However, sensor nodes have limited battery energy. So, we present a mathematical model which is to reduce energy consumption and prolong the lifetime of WSNs. Because of the high density of sensor nodes deployment, a sleep mechanism is proposed to make all sensor nodes work by turns while all service requests can be satisfied. And then, an Improved Sleep Mechanism is put forward to remove redundant active nodes. The simulation result indicates that energy consumption adopting the ISNSS is lower than or equal to the energy consumption adopting SNSS. The SNSS and ISNSS all can save some energy of WSNs to some extent and when the redundant active nodes are removed, the network energy consumption is further reduced based on the SNSS.

scholarly journals An Efficient Multitask Scheduling Model for Wireless Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Hongsheng Yin ◽  
Honggang Qi ◽  
Jingwen Xu ◽  
Xin Huang ◽  
Anping He
Keyword(s):  
Wireless Sensor Network ◽  
Data Processing ◽  
Sensor Network ◽  
Queuing Theory ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Queuing Model ◽  
Average Delay ◽  
Data Packets ◽  
Proposed Model

The sensor nodes of multitask wireless network are constrained in performance-driven computation. Theoretical studies on the data processing model of wireless sensor nodes suggest satisfying the requirements of high qualities of service (QoS) of multiple application networks, thus improving the efficiency of network. In this paper, we present the priority based data processing model for multitask sensor nodes in the architecture of multitask wireless sensor network. The proposed model is deduced with the M/M/1 queuing model based on the queuing theory where the average delay of data packets passing by sensor nodes is estimated. The model is validated with the real data from the Huoerxinhe Coal Mine. By applying the proposed priority based data processing model in the multitask wireless sensor network, the average delay of data packets in a sensor nodes is reduced nearly to 50%. The simulation results show that the proposed model can improve the throughput of network efficiently.

Delay Incurred in Wireless Sensor Networks Using N-Policy M/M/1 Queuing Model and its Mitigation

2019 ◽  
Vol 8 (2) ◽  
pp. 40-52 ◽  
Author(s):  
Sanjeev Ghosh ◽  
Srija Unnikrishnan
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Integrated Circuits ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Queuing Model ◽  
Mean Waiting Time ◽  
Simulation Results ◽  
Theoretical Results

Technological advancements in low power integrated circuits and wireless communications have led to the feasibility of using a network of sensors to be used for the collection, processing, analysis, and distribution of important information, collected in a wide variety of environments. Sensor nodes in a wireless sensor network face the issue of scarcity of power and therefore, optimal use of available power is of prime importance. The authors study and analyze a technique that aims to reduce the consumption of power. In this technique the radio of the sensor node is switched on only when the number of packets in a queue exceeds a certain threshold; this however introduces delay in the processing of the packets. The authors analyze the performance of this system with respect to the power consumption and mean waiting time and suggest a way to mitigate the delay. The simulations performed show that the simulation results are close to the theoretical results thus indicating the validity of the technique studied.

scholarly journals Based on Regular Expression Matching of Evaluation of the Task Performance in WSN: A Queue Theory Approach

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Jie Wang ◽  
Kai Cui ◽  
Kuanjiu Zhou ◽  
Yanshuo Yu
Keyword(s):  
Performance Evaluation ◽  
Sensor Networks ◽  
Task Scheduling ◽  
Regular Expression ◽  
Wireless Sensor ◽  
Theory Approach ◽  
Queuing Model ◽  
Related Sequence ◽  
Validation Phase ◽  
Evaluation Phase

Due to the limited resources of wireless sensor network, low efficiency of real-time communication scheduling, poor safety defects, and so forth, a queuing performance evaluation approach based on regular expression match is proposed, which is a method that consists of matching preprocessing phase, validation phase, and queuing model of performance evaluation phase. Firstly, the subset of related sequence is generated in preprocessing phase, guiding the validation phase distributed matching. Secondly, in the validation phase, the subset of features clustering, the compressed matching table is more convenient for distributed parallel matching. Finally, based on the queuing model, the sensor networks of task scheduling dynamic performance are evaluated. Experiments show that our approach ensures accurate matching and computational efficiency of more than 70%; it not only effectively detects data packets and access control, but also uses queuing method to determine the parameters of task scheduling in wireless sensor networks. The method for medium scale or large scale distributed wireless node has a good applicability.

scholarly journals An Optimal Method to Design Wireless Sensor Network Structures

2018 ◽  
Vol 14 (01) ◽  
pp. 40
Author(s):  
Yang Ling ◽  
Cai Xucan ◽  
Wu Chunlin
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Wireless Sensor ◽  
Optimal Method ◽  
Density Control ◽  
Reliable Monitoring ◽  
Decision Methods ◽  
Network Boundary ◽  
Sleep Mechanism

In order to optimize the structure of wireless sensor network, an improved wireless sensor network sleep mechanism is proposed. First, some nodes in the area with too high redundancy are dormant by density control, so that the active nodes are even more distributed. Then, the active node is subjected to circular coverage redundancy decision. Different circumferential coverage decision methods are used for network boundary nodes and non-boundary nodes. As a result, the boundary nodes and non-boundary nodes are well dormant, and the network redundancy is reduced. The simulation results show that the improved dormancy mechanism makes the number of active nodes in the network smaller and more evenly, and the network lifetime is extended on the basis of maintaining the original coverage of the network. Therefore, the proposed method can achieve optimal coverage in wireless sensor networks. The network prolongs network lifetime while ensuring reliable monitoring performance.

Research on MAC Protocol for Wireless Sensor Network

2014 ◽  
Vol 945-949 ◽  
pp. 2368-2371
Author(s):  
Yong Ming Mao ◽  
Feng Long Kan ◽  
Dong Wei Zhang
Keyword(s):  
Energy Efficiency ◽  
Mac Protocol ◽  
Wireless Sensor ◽  
Low Latency ◽  
Mac Layer ◽  
Active Device ◽  
Control Overhead ◽  
Low Duty Cycle ◽  
And Control ◽  
Sleep Mechanism

The MAC layer protocol for wireless sensor networks has reached a goal of the low-power and low-latency. Existing protocols using periodic sleep mechanism achieve energy efficiency, but the low duty cycle will bring considerable transmission delay, and the delay will accumulate at each hop. This paper presents a wake protocol one by one (Weak up One by One MAC, WOO-MAC), the introduction of an arbitration has been an active device (Mediation Device, MD) as the basis of managers, the agreement for the use of sleep mechanisms exists data forward interrupt and control overhead or other issues, using the method of MD waking each node and reducing the energy, accumulating delay will be decreased based on saving energy.

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