scholarly journals Improving Wireless Sensor Network Lifetime Using Self-Organizing Protocol

2019 ◽  
pp. 330-338
Author(s):  
Charan Mangali
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Life Time ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Network Node ◽  
Network Nodes ◽  
Balancing Energy ◽  
Self Organizing

This paper proposes a E-cient Tree-based Self-organizing Protocol to improving wireless sensor network lifetime. all nodes are divided into two kinds: network nodes and non-network nodes Network nodes broadcast packets to select child nodes and non-network nodes collect packets to join in network. During the self-organization process we take hop, residual energy, number of child node and communication distance into account to calculate the weight of available sink nodes, and then select the node with max weight as sink node. After a non-network node joins the network successful it will work as a network node to searching child nodes. A tree network can be constructed one layer by one layer. For balancing energy consumption and prolonging network lifetime we adjust the topology dynamic. All experiments were done with NS2 Furthermore, the success rate of packet and Life time is much higher compared with LBT.

scholarly journals Routing of emergency data in a wireless sensor network for mining applications

2021 ◽  
Author(s):  
Mandana Jafarian
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Residual Energy ◽  
Mesh Network ◽  
Wireless Sensor ◽  
End To End Delay ◽  
Simulation Results ◽  
End To End

Emergency situations in mines result in loss of precious human lives. In this thesis we discussed architecture of a Wireless Sensor Network (WSN) that can be deployed in mines, which takes care of severe geographical and environmental constraints found inside mines. The proposed architecture is a two-level hierarchy of small sized WSNs that employs a wireless Mesh network as the backbone connecting small sized WSNs scattered inside mines. We proposed a routing protocol for that WSN that is optimized for both emergency and non-emergency data routing. Since our main goal is to provide safety in the mining environment, the main consideration of the routing protocol is to provide reliability and reduce the end-to-end delay for vital emergency traffic while optimizing for network longevity for non-emergency traffic. We present a new cost-based routing protocol called MDML, which provides Minimum Delay and Maximum Lifetime routing for such networks. The proposed MDML routing defines separate cost metrics for emergency and non-emergency traffic. It finds the least-cost path for the reliable delay-constrained emergency traffic with regards to link error rate but also gives secondary consideration to nodes' residual energy. It is an energy efficient routing scheme for non-emergency or regular data traffic routing that maximizes the network lifetime. However, for emergency traffic energy efficiency is compromised to achieving minimal delay. Regular traffic is generated through periodic monitoring and is delay-insensitive. For regular traffic delivery, a shortest path routinig algorithm is employed which uses link costs that reflect both the communication energy consumption rates and the residual energy levels at the two end nodes. Simulation results show that using the proposed emergency routes reduces the end-to-end delay for emergency traffic. The effect of protocol update cycle on increasing the network lifetime is verified true simulation. MDML is also compared with a simulated non-MDML approach to compare the lifetime and delay performance. Simulation results have demonstrated the effectiveness of our approach.

scholarly journals Design and Implementation of a Wireless Sensor Network Node Based on Arduino

2017 ◽  
Vol 13 (11) ◽  
pp. 128 ◽  
Author(s):  
Yang Wang
Keyword(s):  
Wireless Sensor Network ◽  
Wireless Communication ◽  
Sensor Network ◽  
Information Acquisition ◽  
Communication Protocol ◽  
Functional Module ◽  
Wireless Sensor ◽  
Network Node ◽  
Network Nodes ◽  
Communication Program

<p><span style="font-family: 宋体; font-size: medium;">For dealing with the limitations and deficiencies of present wireless sensor network nodes, including poor flexibility, low degree of variability, low generality, Arduino development advantages are combined with ZigBee wireless communication technologies characteristics. The versatility and flexibility of wireless sensor network nodes and the cost and energy consumption of nodes are studied. First of all, ZigBee communication protocol and networking technology are studied, and based on this, communication protocols that the subjects need are designed. Secondly, the hardware system of ZigBee wireless sensor network node based on Arduino technology is discussed and designed. In addition, suitable Arduino development panel is selected in accordance with requirements of ZigBee wireless sensor network node. With the development panel as the design prototype, the circuit of functional module is designed. Thirdly, based on the wireless sensor network node communication protocol and hardware design, the software system of wireless sensor network node is designed and realized. The results showed that, through designing reasonable software working flow and compiling efficient information acquisition and wireless communication program, the intelligence orientation of node information acquisition and information transmission is achieved. In a word, it can be concluded that, combined with Arduino, a better function can be achieved.</span></p>

scholarly journals Optimal Firefly based Balanced Energy Efficient Multi-hop (BEEM) Algorithm in Wireless Sensor Network

2020 ◽  
pp. 213-220
Author(s):  
Gaurav Kumar ◽  
Harjit Pal Singh
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Clustering Algorithms ◽  
Cluster Head ◽  
Life Time ◽  
Wireless Sensor ◽  
Algorithm Performance ◽  
Selection Of

Life time of sensor network is very crucial and hot topic of research in wireless sensor network (WSN) from past to future. It is crucial due to system recharging and replacing the sensors are difficult and costly affair. Clustering provides some solution to extend the network lifetime. Existing clustering algorithms, such as LEACH and other heterogeneous routing protocol, can significantly minimize the power consumption on each sensor and prolong the network lifetime but not consideration of coverage network area. Balanced Energy Efficient Multi-hop (BEEM) algorithm has implemented to simulated WSN network and the selection of the cluster head on the basis of firefly (FF) optimization algorithm. Performance of the proposed hybrid Algorithm is well suited in terms of energy consumptions, stability period, network lifetime, throughput, Alive & Dead Nodes & other parameters. Proposed algorithm has showed improved result in energy consumption with firefly-BEEM over the existing BEEM.

Research of Wireless Sensor Network Node Based on Vibrating Wire Sensor of Single Coil and Phototube

2011 ◽  
Vol 186 ◽  
pp. 156-160
Author(s):  
Da Yong Li ◽  
Xue Zeng Zhao
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Network Node ◽  
Pressure Monitoring ◽  
Vibrating Wire ◽  
Network Nodes ◽  
Single Coil ◽  
Communication Module ◽  
Mean Time

The merits of conventional vibrating wire sensor(VWS) used for roof pressure monitoring are introduced, based on photoelectric single coil VWS and ZigBee technique, this paper has designed a wireless sensor network node. In the mean time, this paper has designed the circuits of wireless communication module、the software design approaches of sweeping frequency and networking for wireless sensor network nodes. Compared to traditional vibrating wire sensor used in roof pressure monitoring system, which not only solves the electromagnetic interfere problem in the course of frequencies’ excitation and picking up but also avoids the difficulty when setting up equipments and laying wires.

A Wireless Sensor Network Node Coverage Discriminant Model Based on the Average Distance of Neighbor Node

2014 ◽  
Vol 519-520 ◽  
pp. 1264-1270
Author(s):  
Xiu Mei Jia ◽  
Ce Ce Zheng
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Average Distance ◽  
Life Time ◽  
Wireless Sensor ◽  
Network Node ◽  
Discriminant Model ◽  
Model Based ◽  
Discrimination Model ◽  
Overlap Area

Based on the SITE algorithm, this paper proposed a wireless sensor network node coverage discrimination model based on the average distance of neighbor node (ADDM), which can discriminate whether the node is redundant node or not by computing the average distance of the neighbor nodes and the radius angle of overlap area. Theoretical analysis and simulation results showed that the ADDM algorithm better to improve the SITE algorithm, resolve the shortage that the SITE algorithm neglects the effect of the node of distance is greater than the radius of perception, realize the regional coverage with fewer nodes, So as to prolong the network life time.

scholarly journals Approach to Anomaly Detection in Self-Organized Decentralized Wireless Sensor Network for Air Pollution Monitoring

2021 ◽  
Vol 346 ◽  
pp. 03002
Author(s):  
Alexey Meleshko ◽  
Vasily Desnitsky ◽  
Igor Kotenko
Keyword(s):  
Air Pollution ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Human Life ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Network Nodes ◽  
Private Monitoring ◽  
Air Pollution Monitoring ◽  
Self Organizing

The paper reveals the essence and features of the proposed approach to detecting anomalies in a self-organizing decentralized wireless sensor network (WSN). As a basis for detecting anomalies, the used WSN is intended to monitor atmospheric air pollution near industrial facilities and human life objects. The distinctive features of such a network are the decentralized nature of its structure and services, the autonomy and mobility of the network nodes, as well as the possibility of non-deterministic physical movement of nodes in space. The spontaneous nature of the dynamic formation of the network topology as well as the assignment of roles and private monitoring functions between the available network nodes determines such networks are subject to attacks that exploit the properties of network decentralization and its self-organization. The proposed approach to detecting anomalies is based on the collection and analysis of data from sensors and is designed to increase the security of self-organizing decentralized WSN by identifying anomalies that are critical in the context of the monitoring purposes.

An Algorithm with Efficiently Collecting and Aggregating Data for Wireless Sensor Networks

2021 ◽  
Author(s):  
Peng Xiong ◽  
Qinggang Su
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Cluster Head ◽  
Residual Energy ◽  
Base Station ◽  
Wireless Sensor ◽  
Cluster Heads ◽  
Battery Capacity

Due to the resource constraint, in wireless sensor network, the node processing ability, wireless bandwidth and battery capacity and other resources are scarcer. For improving the energy efficient and extend the lifetime of the network, this paper proposes a novel algorithm with the distributed and energy-efficient for collecting and aggregating data of wireless sensor network. In the proposed protocol, nodes can autonomously compete for the cluster head based on its own residual energy and the signal strength of its neighbouring nodes. To reduce the energy overhead of cluster head nodes, with a multi-hop way among cluster heads, the collected data from cluster heads is sent to a designated cluster head so as to further send these data to a base station. For improving the performance of the proposed protocol, a new cluster coverage method is proposed to fit the proposed protocol so that when the node density increases, network lifetime can be increased linearly as the number of nodes is increased. Simulations experiments show that network lifetime adopting the proposed protocol is sharply increased. And, the proposed protocol makes all the nodes die (network lifetime is defined as the death of last one node) in the last 40 rounds so that networks adopting the proposed protocol have higher reliability than networks adopting compared protocols.

scholarly journals Routing of emergency data in a wireless sensor network for mining applications

2021 ◽  
Author(s):  
Mandana Jafarian
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Residual Energy ◽  
Mesh Network ◽  
Wireless Sensor ◽  
End To End Delay ◽  
Simulation Results ◽  
End To End

Emergency situations in mines result in loss of precious human lives. In this thesis we discussed architecture of a Wireless Sensor Network (WSN) that can be deployed in mines, which takes care of severe geographical and environmental constraints found inside mines. The proposed architecture is a two-level hierarchy of small sized WSNs that employs a wireless Mesh network as the backbone connecting small sized WSNs scattered inside mines. We proposed a routing protocol for that WSN that is optimized for both emergency and non-emergency data routing. Since our main goal is to provide safety in the mining environment, the main consideration of the routing protocol is to provide reliability and reduce the end-to-end delay for vital emergency traffic while optimizing for network longevity for non-emergency traffic. We present a new cost-based routing protocol called MDML, which provides Minimum Delay and Maximum Lifetime routing for such networks. The proposed MDML routing defines separate cost metrics for emergency and non-emergency traffic. It finds the least-cost path for the reliable delay-constrained emergency traffic with regards to link error rate but also gives secondary consideration to nodes' residual energy. It is an energy efficient routing scheme for non-emergency or regular data traffic routing that maximizes the network lifetime. However, for emergency traffic energy efficiency is compromised to achieving minimal delay. Regular traffic is generated through periodic monitoring and is delay-insensitive. For regular traffic delivery, a shortest path routinig algorithm is employed which uses link costs that reflect both the communication energy consumption rates and the residual energy levels at the two end nodes. Simulation results show that using the proposed emergency routes reduces the end-to-end delay for emergency traffic. The effect of protocol update cycle on increasing the network lifetime is verified true simulation. MDML is also compared with a simulated non-MDML approach to compare the lifetime and delay performance. Simulation results have demonstrated the effectiveness of our approach.

scholarly journals Reckoning Network Lifetime Ratio for Wireless Sensor Network

2019 ◽  
Vol 8 (11) ◽  
pp. 2238-2247
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Low Cost ◽  
Life Time ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Battery Life ◽  
Environment Change ◽  
Wireless Sensor Nodes

Advanced Technologies such as Internet of Things, Machine Networking give rise to the deployment of autonomous Wireless Sensor Nodes. They are used for various domains namely battlefield monitoring, enemy detection and monitoring the environment change. These Wireless Sensor Nodes have the properties of low cost and high battery life. NL (Network Lifetime) is an important phase of Wireless Sensor Network (WSNs), in which the nodes can maintain sensing for a more amount of time. NL can be improved by use of multiple techniques namely Opportunistic Transmission, Scheduling of Timed Data Packets, Clustering of Nodes, Energy Harvesting and Connectivity. This paper provides the energy consumption computation, life time ratio definition and the overview of NL improvement techniques. The paper also presents brief review of the Destination based and Source based routing algorithm

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