scholarly journals Data Flow in Wireless Sensor Network Protocol Stack by using Bellman-Ford Routing Algorithm

2017 ◽  
Vol 6 (1) ◽  
pp. 81-87
Author(s):  
Rakesh Kumar Saini ◽  
Ritika Ritika ◽  
Sandip Vijay
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Fire Detection ◽  
Transport Layer ◽  
Sensor Nodes ◽  
Network Protocol ◽  
Wireless Sensor ◽  
Target Area ◽  
Protocol Stack

Wireless sensor network consists various sensor nodes that are used to monitor any target area like forest fire detection by our army person and monitoring any industrial activity by industry manager. Wireless sensor networks have been deployed in several cities to monitor the concentration of dangerous gases for citizens. In wireless sensor network when sensor nodes communicate from each other then routing protocol are used for communication between protocol layers. Wireless sensor network protocol stack consist five layers such as Application layer, Transport layer, Network layer, MAC Layer, Physical layer. In this paper we study and analysis Bellman-Ford routing algorithm and check the flow of data between these protocol layers. For simulation purpose we are using Qualnet 5.0.2 simulator tool.

scholarly journals A Novel Secret Location Sharing Scheme for Wireless Sensor Network

2021 ◽  
Vol 19 (3) ◽  
Author(s):  
Monjul Saikia
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Node ◽  
Implementation Process ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Target Area ◽  
Location Sharing ◽  
Sharing Scheme

The wireless sensor network is a collection of sensor nodes that operate collectively to gather sensitive data from a target area. In the process of data collection the location of sensor nodes from where data is originated matters for taking any decision at the base station. Location i.e. the coordinates of a sensor node need to be shared among other nodes in many circumstances such as in key distribution phase, during routing of packets and many more. Secrecy of the location of every sensor node is important in any such cases. Therefore, there must be a location sharing scheme that facilitates the sharing of location among sensor nodes securely. In this paper, we have proposed a novel secure and robust mechanism for location sharing scheme using 2-threshold secret sharing scheme. The implementation process of the proposed model is shown here along with results and analysis.

scholarly journals An Enhanced PSO-Based Clustering Energy Optimization Algorithm for Wireless Sensor Network

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
C. Vimalarani ◽  
R. Subramanian ◽  
S. N. Sivanandam
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Clustering Algorithm ◽  
Performance Metrics ◽  
Energy Optimization ◽  
Pso Algorithm ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Target Area ◽  
Energy Conservation Measures

Wireless Sensor Network (WSN) is a network which formed with a maximum number of sensor nodes which are positioned in an application environment to monitor the physical entities in a target area, for example, temperature monitoring environment, water level, monitoring pressure, and health care, and various military applications. Mostly sensor nodes are equipped with self-supported battery power through which they can perform adequate operations and communication among neighboring nodes. Maximizing the lifetime of the Wireless Sensor networks, energy conservation measures are essential for improving the performance of WSNs. This paper proposes an Enhanced PSO-Based Clustering Energy Optimization (EPSO-CEO) algorithm for Wireless Sensor Network in which clustering and clustering head selection are done by using Particle Swarm Optimization (PSO) algorithm with respect to minimizing the power consumption in WSN. The performance metrics are evaluated and results are compared with competitive clustering algorithm to validate the reduction in energy consumption.

scholarly journals Interference-Aware Routing for Difficult Wireless Sensor Network Environment with SWIPT

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3978 ◽  
Author(s):  
Shiming He ◽  
Yangning Tang ◽  
Zhuozhou Li ◽  
Feng Li ◽  
Kun Xie ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Allocation Model ◽  
Routing Problem ◽  
Non Invasive ◽  
Performance Gains ◽  
Rf Signal

The main challenges of sensing in harsh industrial and biological environments are the limited energy of sensor nodes and the difficulty of charging sensor nodes. Simultaneous wireless information and power transfer (SWIPT) is a non-invasive option to replenish energy. SWIPT harvests energy and decodes information from the same RF signal, which is influencing the design of a wireless sensor network. In multi-hop multi-flow wireless sensor networks, interference generally exists, and the interference has a different influence on SWIPT. Route, interference and SWIPT are dependent. However, existing works consider SWIPT link resource allocation with a given route or only select path for one flow without interference. Therefore, this paper firstly analyzes the influence of interference on SWIPT, and select the SWIPT routing with interference. We design an interference-based information and energy allocation model to maximize the link capacity with SWIPT. Then, we design an interference-aware route metric, formulate SWIPT routing problem, and design an interference-aware SWIPT routing algorithm. The simulation results show that as the number of flows increases, there is more likely to obtain performance gains from interference and SWIPT.

scholarly journals An Evaluation of Various Clustering and Routing Protocols in Wireless Sensor Networks

2019 ◽  
Vol 9 (1) ◽  
pp. 3184-3187
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocols ◽  
Routing Algorithm ◽  
Life Time ◽  
Research Field ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Network Growth ◽  
Wide Range

In the recent field of research the wireless sensor network plays an important role. Wireless sensor network is an important technology in this era. A Wireless Sensor Network (WSN) is a distributed network contains enormous sensor nodes with wide range of application. It transmits unlimited and enormous data like image, video, audio and data through end to end network. WSNs offer much solution to remote real time monitoring, recognition of physical occurrence and target tracking applications. This network growth is increasingly rapidly day by day and made the research field in difficult resurgence. The extended network lifetime, effective load balancing and scalability are essential for WSNs. The life time of the wireless network can be extended by the concept of clustering .Clustering is process of grouping the smaller localized networks in highly structured way. Diverse cluster technology available based on the network the clustering concept will be used. Efficient routing algorithm provide the way for efficient usage of bandwidth and reduce the delay in the network . This paper provides the survey of clustering and routing protocols to improve the efficiency in wireless technology in recent years

scholarly journals An Enhanced Energy Optimization Routing Protocol with Fuzzy Logic in Wireless Sensor Network

2020 ◽  
Vol 9 (5) ◽  
pp. 1200-1206
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Routing Algorithm ◽  
Packet Transmission ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Intermediate Node

Wireless Sensor Network (WSN) is a huge collection of sensor nodes deployed without any predetermined infrastructure. They are powered by batteries and energy consumption is one of the major issues in WSN. Hence to prolong the lifetime of the networks, it is important to design the energy efficient optimized routing algorithm. In this paper, two hop forwarding scheme in AODV and Fuzzy Logic is proposed to find an optimal routing protocol and intermediate node acknowledgement is deducted by the use of Fuzzy rules. The parameters such as remaining energy, data packet transmission, packet received acknowledgement and number of rounds is given as input to the fuzzy system which gives an optimized routing decision. The efficacy of the proposed algorithm is evaluated using NS2 and compared with Fuzzy-based Energy-Aware Routing Mechanism (FEARM). The simulation results shows that the Fuzzy based AODV routing algorithm reduces the energy consumption, minimizes the routing response packets and improves the network life time compared to other similar routing protocols.

scholarly journals Clustered Wireless Sensor Network Assisted the Design of Intelligent Art System

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Yue Zhao
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Base Station ◽  
Network Protocol ◽  
Wireless Sensor ◽  
Intelligent Node ◽  
Simulation Results ◽  
Clustered Network

Based on the principle of cluster wireless sensor network, this article introduces typical routing protocols in wireless sensors, and wireless sensor network protocol in detail analyzes their advantages and disadvantages and addresses their shortcomings. First, in the clustering network, a uniform clustering protocol with multiple hops in the circular network is proposed. The circular network is divided into rings of equal width, and clusters of equal size are set on different rings. Secondly, the ordinary nodes on each layer of the ring send the collected data to the auxiliary intelligent nodes in the cluster in a single-hop manner, and the auxiliary intelligent nodes located on the outer ring transfer the data to the auxiliary intelligent nodes located on the adjacent inner ring. Finally, on the basis of studying the clustering network protocol, this paper proposes a new clustering routing algorithm, a multihop adaptive clustering routing algorithm. The simulation results show that the algorithm can effectively extend the life of the network, save network energy consumption, and achieve network load balance. At the same time, the initial energy of the auxiliary intelligent node is set according to the energy consumption of the ordinary node and the relative distance between the auxiliary intelligent node and the base station on each layer of the ring. The theoretical and simulation results prove that, compared with the clustered network and auxiliary intelligent nodes, the clustered network can extend the life of the network.

Monitoring System in Pig Farm Based on Improved Zigbee Tree Routing Algorithm

2014 ◽  
Vol 687-691 ◽  
pp. 861-864
Author(s):  
Wei Xing Zhu ◽  
Ai Ping Wang ◽  
Jian Fei Zhang ◽  
Yao Lu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Destination Node ◽  
Advantages And Disadvantages ◽  
Tree Routing ◽  
Environment Control ◽  
Improved Algorithm

In view of the fixed testing point and complex wiring in conventional piggery environment control, a new system based on wireless sensor network was designed. This system consisted of the control center with ARM-Linux, executing mechanism nodes and wireless sensor network containing the flexible sensor nodes which could be arbitrarily placed in piggery. In order to make reasonable use of the energy of Zigbee network and prolong the survival time, a improved zigbee tree routing algorithm was proposed. First of all, by analyzing the advantages and disadvantages of the Cluster-tree and AODVjr algorithm in the Zigbee protocol, the neighbor table was introduced into the improved algorithm. Secondly, the scope of the destination node was confirmed to control the radio range of the RREQ and prevented invalid RREQ flooding. Simulation results show that the improved algorithm optimized the overall energy consumption effectively, prolonged the time of the critical nodes, reduced the number of death nodes, balanced the network load and improved the overall performance of the network.

scholarly journals Investigation of Parameter Effects on Virtual-Spring-Force Algorithm for Wireless-Sensor-Network Applications

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3082
Author(s):  
Zhiyong Yu ◽  
Rongxin Tang ◽  
Kai Yuan ◽  
Hai Lin ◽  
Xin Qian ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Large Scale ◽  
Central Force ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Target Area ◽  
Node Deployment ◽  
Spring Force

Virtual-force algorithms (VFAs) have been widely studied for accurate node deployment in wireless-sensor-network (WSN) applications. Their main purpose is to achieve the maximum coverage area with the minimum number of sensor nodes in the target area. Recently, we reported a new VFA based on virtual spring force (VFA-SF) and discussed in detail the corresponding efficiency via statistical analysis. The optimized strategy by adding an external central force (VFA-SF-OPT) was presented, which effectively eliminates the coverage hole or twisted structure in the final network distribution. In this paper, the parameter effects on VFA-SF and the VFA-SF-OPT were further investigated: (1) Node velocity dramatically affects the convergence rate of the node-deployment process. (2) A suitable external central force improves equilibrium distance and reduces energy consumption. (3) The effects of VFA-SF and VFA-SF-OPT for different types of obstacles are discussed. Generally, by choosing suitable parameters, both VFA-SF and VFA-SF-OPT can effectively improve node deployment and energy consumption for the whole sensor network. The results give important insight in parameter selection and information fusion in the application of a large-scale WSN.

scholarly journals Energy Optimization for WSN in Ubiquitous Power Internet of Things

2019 ◽  
Vol 14 (4) ◽  
pp. 503-517 ◽  
Author(s):  
Wei Hu ◽  
Huanhao Li ◽  
Wenhui Yao ◽  
Yawei Hu
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Internet Of Things ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Energy Optimization ◽  
Opportunistic Routing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Single Node

This paper attempts to solve the problems of uneven energy consumption and premature death of nodes in the traditional routing algorithm of rechargeable wireless sensor network in the ubiquitous power Internet of things. Under the application environment of the UPIoT, a multipath routing algorithm and an opportunistic routing algorithm were put forward to optimize the network energy and ensure the success of information transmission. Inspired by the electromagnetic propagation theory, the author constructed a charging model for a single node in the wireless sensor network (WSN). On this basis, the network energy optimization problem was transformed into the network lifecycle problem, considering the energy consumption of wireless sensor nodes. Meanwhile, the traffic of each link was computed through linear programming to guide the distribution of data traffic in the network. Finally, an energy optimization algorithm was proposed based on opportunistic routing, in a more realistic low power mode. The experimental results show that the two proposed algorithms achieved better energy efficiency, network lifecycle and network reliability than the shortest path routing (SPR) and the expected duty-cycled wakeups minimal routing (EDC). The research findings provide a reference for the data transmission of UPIoT nodes.

Sign in / Sign up

Export Citation Format

Share Document