scholarly journals Analysis of QoS for PAT and EnOPATr System in WSN

2018 ◽  
Vol 7 (2.7) ◽  
pp. 99
Author(s):  
Devare Avinash S ◽  
G Krishna Mohan

In the situations of natural disasters, Wireless Sensor Networks (WSN) is extensively used.  Quality of Service (QoS) is an important parameter for ensuring effectiveness and robustness of service provided.  QoS gets degraded when being applied in various applications of WSN.   Qos expected in WSN applications gets reduced further.  In this case, efficient use of the scarce resources is important to ensure continuous    data transmission is ensured by proficient use of resources which are limited resources. There are many WSN protocols which focus on broadcasting of important information. But there are many parameters which get neglected by these protocols. For instance, normal data traffic gets neglected by these protocols.  Hence, this research proposes EnOPATr system which is independent and distributed. The essential and normal data is handled at the same time in EnOPATr which achieves   dependable and congestion free data. In a sensor node, power consumption can be reduced by decreasing the rate of packet retransmission. This is because of congestion in network.  The simulation of the proposed system is done using NS-2 software which shows that the proposed system is able to reduce network congestion thereby improving the performance..

This paper is presented to bring a very important issue in the data transmission realm ‘congestion’. Regardless of the type and priority of the data it may happen that a lot of signals generate by the system of sensors arrive at the ‘root’ destination at the same time. Regardless of the processing power sometimes it has been observed that spectrum gets saturated. This saturation can be compared with large crowd trying to get into stadium through one entry point. To solve this problem various algorithms have been introduced, in this paper we have given emphasis on one algorithms one is signal-type priority reception. The Quality-of-Service (QoS) of the primary applications is of vital issue in order to ensure its efficiency and robustness. WSN's with limited resources, congestion in WSN will further reduce the expected QoS by degrading its services and contributions in monitoring systems. In this state, efficient use of the scarce resources is an important to ensure seamless data transmission. At a sensor node the power consumption can be reduced by reducing the packet retransmission rate which can be caused by congestion. The nodes deployed in the area monitored will be clustered groups with a cluster head. The proposed technique is able to reduce congestion thus improve the overall performance. This algorithm will give a major boost to WSN system employing ‘n’ number of sensors and be able to boost up efficiency and cut down the time delay and hence enhancing the productivity of the system itself.


2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Hind Alwan ◽  
Anjali Agarwal

With the growing demand for quality-of-service (QoS) aware routing protocol in wireless networks, QoS-based routing has emerged as an interesting research topic. Quality of service guarantee in wireless sensor networks (WSNs) is difficult and more challenging due to the fact that the available resources of sensors and the various applications running over these networks have different constraints in their nature and requirements. In this paper, we present a heuristic neighbor selection mechanism in WSNs that uses the geographic routing mechanism combined with the QoS requirements to provide multiobjective QoS routing (MQoSR) for different application requirements. The problem of providing QoS routing is formulated as link, and path-based metrics. The link-based metrics are partitioned in terms of reliability, delay, distance to sink, and energy, and the path-based metrics are presented in terms of end-to-end delay, reliability of data transmission, and network lifetime. The simulation results demonstrate that MQoSR protocol is able to achieve the delay requirements, and due to optimum path selection process, the achieved data delivery ratio is always above the required one. MQoSR protocol outperforms the existing model in the literature remarkably in terms of reliable data transmission, time data delivery, and routing overhead and underlines the importance of energy-efficient solution to enhance network lifetime.


2018 ◽  
Vol 7 (2.27) ◽  
pp. 132
Author(s):  
Avneet Kaur ◽  
Neeraj Sharma

The wireless sensor is deployed to sense large amount of data from the far places. With the large deployment of the sensor networks, it faces major issues like energy consumption, dynamic routing and security. The Energy efficient structure-free data aggregation and delivery (ESDAD) is the protocol which is hierarchal in nature. The ESDAD protocol can be further improved to increase lifetime of wireless sensor networks. The base station localizes the position of each sensor node and defines level of each node for the data transmission. In the ESDAD protocol, the next hop node is selected based on cost function for the data transmission. In this research work, improved in ESDAD protocol is proposed in which gateway nodes are deployed after each level for the data transmission. The sensor node will sense the information and transmit it to gateway node. The gateway node aggregates data to the base station and simulation results show that improved ESDAD protocol performs well in terms of energy consumption and number of throughput. 


2020 ◽  
Vol 2020 ◽  
pp. 1-20
Author(s):  
Yu Song ◽  
Zhigui Liu ◽  
Xiaoli He

Compared with traditional networks, WSNs have more limited resources such as energy, communication, computing, and storage. The problem of how to achieve energy saving, extend network life cycle, and improve network performance under these limited resources has always been an issue of great interest in WSN research. However, existing protocols do not consider that sensor nodes within the BS threshold may not be clustered. These nodes can directly transmit data to the BS. This simplifies the cluster routing process of the entire WSN and saves more energy. This paper introduces an efficient, and energy-efficient, clustering and equalization routing protocol called the PSOLB-EGT protocol. This protocol introduces a new approach by combining improved particle swarm optimization (PSO) and evolutionary game theory (EGT) algorithms to address the problem of maximizing the network lifetime. The operation of the wireless sensor network is divided into an initialization phase and a data transmission phase. In the initialization phase of the wireless sensor network, the improved PSO algorithm is used to establish clusters and select CHs in areas other than the BS threshold. Entering the data transmission phase, we analyze this problem from the perspective of game theory. We use improved noncooperative evolutionary game theory to build models to solve the problem of the energy waste caused by routing congestion. The proposed PSOLB-EGT protocol is intensively experimented with a number of topologies in various network scenarios, and the results are compared with the well-known cluster-based routing protocols that include the swarm intelligence-based protocols. The obtained results prove that the proposed protocol has increased 9%, 8%, and 5% compared with the ABC-SD protocol in terms of network life, network coverage, and amount of data transmitted, respectively.


2013 ◽  
Vol 655-657 ◽  
pp. 655-659 ◽  
Author(s):  
Lei Chun Wang ◽  
Guo Yu Zhou

Data aggregation is the important method to reduce data traffic and lower energy expenditure in wireless sensor networks (WSN). This paper analyzes the characteristics of data sampled by nodes, and gives the method to decide spatial correlation between neighboring nodes and the criteria to classify and decide data in WSN. On the basis of this, this paper proposes a spatial correlation based data aggregation algorithm for WSN, SCBD. SCBD classifies and decides data according to data criteria and spatial correlation among nodes in normal nodes and cluster heads at the same time, and then aggregates different types of data. The results show that SCBD outperforms RAA in terms of energy consumption, rate of data detection and quality of data aggregation.


2013 ◽  
Vol 655-657 ◽  
pp. 1757-1760
Author(s):  
Seong Cheol Kim

In this paper we propose a data transmission mechanism that supports fairness and Quality of Service (QoS) in a wireless sensor networks (WSNs). In this mechanism the received or measured data traffics will be assigned a priority level according to its transmission urgency. And the load prediction algorithm is used to support the fairness between different priority traffics. For this, the buffer length values of the nodes are continuously monitored for some period. Based on the buffer length variations for this period, the order of transmission is determined. FQSM also adapts cross-layer concept to rearrange the data transmission order in each sensor node's buffer, saves energy consumption by allowing few nodes in data transmission, and prolongs the network lifetime


Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5394 ◽  
Author(s):  
Prasan Kumar Sahoo ◽  
Sudhir Ranjan Pattanaik ◽  
Shih-Lin Wu

Synchronous medium access control (MAC) protocols are highly essential for wireless sensor networks (WSN) to support transmissions with energy saving, quality services, and throughput in industrial, commercial and healthcare applications. In this paper, a synchronous channel access mechanism is designed, where sensors can reserve the contention free data transmission slots in different available channels. To reduce the delay of data transmission among the nodes in the mesh topology, a linear programming problem (LPP) model is designed to select suitable relay nodes. Moreover, the performance of the proposed MAC is analyzed and our models are validated with simulation and analytical results. The results show that our proposed MAC protocol outperforms the IEEE 802.15.4e MAC mechanism in terms of throughput, reliability, delay, energy, packet drop rate and transmission success rate.


This paper sets out to identify the best courses open to the building industry and its clients to obtain higher productivity. Although there is common ground that the concept involves the relationship between inputs and outputs, it eludes precise definition. From the standpoint of this paper productivity is taken to mean the optimum use of resources to obtain an acceptable goal, thus avoiding one contentious aspect of productivity, the relative utility of the goals obtained. High productivity is not, of course, an end in itself. It includes wider issues including the value of the output to society, the quality of life of those engaged in the operations involved and of those affected indirectly by the activity or the outcome, or by both. Single-minded pursuit of higher productivity assumes scarce resources or at least an imbalance between the intentions of an organization and practical achievement. Social benefit from higher productivity is obtained when the resources made available by higher productivity are deployed on the next most important activity, or when work is allocated to share the benefits of higher productivity, e.g. by working shorter hours.


2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Sathiyaseelan Rathinavel ◽  
Vijayakumar Pandi ◽  
Audithan Sivaraman

Wireless Sensor Networks (WSNs) are used in almost every sensing and detection environment instead of wired devices in the current world, all the more in power plant monitoring applications. In such a kind of environment, providing reliability is a challenging task, since WSN makes use of low powered sensors. There are many existing works that provide reliable transmission in WSN (predominantly via multipath routing). However, most of the existing works take additional delay, excessive packet loss, and energy consumption, and hence they provide less packet delivery and throughput. Adaptive Priority Routing (APR) is first proposed during the initial design to provide efficiency in next hop selection. APR computes the priority value for selecting the intermediate nodes during the data transmission in order to improve the packet delivery, throughput, and energy efficiency. In addition to this, APR is developed into QAPR protocol to provide reliability which can operate in two modes,Drepresenting distance mode andQrepresenting quality of service (QoS) mode. The proposed work is simulated in both flat topology and hierarchical topologies and the simulation analysis shows that the reliability is increased significantly in comparison with existing works.


Author(s):  
Jamila Bhar ◽  
Imen Bouazzi

The future is moving towards offering multiples services based on the same technology. Then, billions of sensors will be needed to satisfy the diversity of these services. Such considerable amount of connected devices must insure efficient data transmission for diverse applications. Wireless sensor network (WSN) represents the most preferred technology for the majority of applications. Researches in medium access control (MAC) mechanism have been of significant impact to the application growth because the MAC layer plays a major role in resource allocation in WSNs. We propose to enhance a MAC protocol of WSN to overcome traffic changes constraints. To achieve focused goal, we use elastic hybrid MAC scheme. The main interest of the developed MAC protocol is to design a medium access scheme that respect different quality of services (QoS) parameters needed by various established traffic. Simulation results show good improvement in measured parameters compared to typical protocol.


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