Results 1 - 10
of
12
Analysis On Deployment Cost And Network Performance For Heterogeneous Wireless Sensor Networks
- International Journal of Computer science & Information Technology (IJCSIT
, 2009
"... A wireless sensor network is an autonomous system of sensor connected by wireless devices without any fixed infrastructure support. One of the major issues in wireless sensor network is developing a cost effective routing protocol which has a significant impact on the overall network performance in ..."
Abstract
-
Cited by 3 (0 self)
- Add to MetaCart
(Show Context)
A wireless sensor network is an autonomous system of sensor connected by wireless devices without any fixed infrastructure support. One of the major issues in wireless sensor network is developing a cost effective routing protocol which has a significant impact on the overall network performance in the sensor network. In this paper, we have considered three types of nodes with different battery energy. The key role of the proposed protocol is to maximize the network performance without increasing the network deployment cost. We have compared the quantitative analysis of different protocols in terms of their network deployment cost. Our analysis and simulation results demonstrate that the proposed scheme can achieve higher network performance and lower network deployment cost as compared to the existing protocols.
Secure and Energy-efficient Geocast Protocols for Wireless Sensor Networks based on a Hierarchical Clustered Structure
, 2012
"... This paper presents a secure and energy-efficient geocast protocol for wireless sensor network (WSN) based on a hierarchical clustered structure with data guarantee delivery from the base station (BS) all nodes placed in one or more geocast regions. Our protocol is composed of two major parts which ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
(Show Context)
This paper presents a secure and energy-efficient geocast protocol for wireless sensor network (WSN) based on a hierarchical clustered structure with data guarantee delivery from the base station (BS) all nodes placed in one or more geocast regions. Our protocol is composed of two major parts which are complementary and allow overall energy savings. First of all the hierarchical formation based on cliques and a concept of virtual architecture allows us to build a robust, fast and secure foundation for routing of information. Next geocast diffusion itself is simply reduced f a research phase in the network that is a step of sending data(s). Our protocol performs better in terms of less broadcast rounds overhead than the one in [33].
WETX: A Weighted Expected Transmission Routing Metric for Diversity in Wireless Sensor Networks
"... Abstract—The expected number of transmission (ETX) metric represents the link quality for links in Wireless Sensor Networks (WSNs) that can vary for different radios. To adapt to these differences, radio diversity is a recent explored solution for wireless sensor networks. In this paper, we show tha ..."
Abstract
-
Cited by 1 (1 self)
- Add to MetaCart
(Show Context)
Abstract—The expected number of transmission (ETX) metric represents the link quality for links in Wireless Sensor Networks (WSNs) that can vary for different radios. To adapt to these differences, radio diversity is a recent explored solution for wireless sensor networks. In this paper, we show that in a multi radio environment it is not enough to only choose a next hop based on link qualities as with the popular ETX metric. In such an environment, the cost of transmission and reception is radio specific, which needs to be considered when making a routing decision. Instead, we propose a scheme that explores the diversity in ETX over radios and therefore enables a node to choose an energy efficient link by considering a new metric WETX, for weighted ETX. We show by both analysis and simulation that our proposal can improve the energy consumption in a network and extend the network lifetime with up of 60%.
A New Approach Layered Architecture based Clustering for Prolong Life
- of WSN‖ International Journal of Computer Applications (0975-8887) Volume 15-No. 1, Feburary
, 2011
"... ABSTRACT 1.INTRODUCTION Low cost inexpensive sensors which are capable of significant computation are become available RELATED WORK LEACH is based on the fusion (or aggregation) technique which combines the original data into the smaller size of data and carries only meaningful information to all ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
(Show Context)
ABSTRACT 1.INTRODUCTION Low cost inexpensive sensors which are capable of significant computation are become available RELATED WORK LEACH is based on the fusion (or aggregation) technique which combines the original data into the smaller size of data and carries only meaningful information to all the sensor nodes 3.PROBLEM STATEMENT When the network is first time deployed, the energy of all the nodes is same. As the network starts functioning, few nodes lose their energy faster and die earlier as compared
Prolonging Network Lifetime and Data Accumulation in Heterogeneous Sensor Networks
, 2008
"... Abstract: Research on Wireless Sensor Networks has often assumed homogeneous nodes. In reality, homogeneous nodes have different capabilities like different levels of initial energy and drain rate. This leads to the research on heterogeneous networks where two or more types of nodes are considered w ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
Abstract: Research on Wireless Sensor Networks has often assumed homogeneous nodes. In reality, homogeneous nodes have different capabilities like different levels of initial energy and drain rate. This leads to the research on heterogeneous networks where two or more types of nodes are considered within the network and the more powerful sensor nodes act as cluster heads. In this paper, we have analyzed a heterogeneous network with three types of nodes having different initial energy levels. A single hop clustering topology has been assumed and analyzed the network performance in terms of lifetime. Simulation results show that the network lifetime is much better in proposed protocol than the existing protocols.
Layer Based and Energy-Balanced Clustering Protocol for Wireless Sensor Network
"... Abstract: Hierarchical routing algorithm is the most important method for prolonging lifetime of wireless sensor networks, which can not only decrease the energy consumption of the nodes, but also balance the energy dissipation of the entire network. Therefore, this paper proposes a new layer based ..."
Abstract
- Add to MetaCart
(Show Context)
Abstract: Hierarchical routing algorithm is the most important method for prolonging lifetime of wireless sensor networks, which can not only decrease the energy consumption of the nodes, but also balance the energy dissipation of the entire network. Therefore, this paper proposes a new layer based and energy-balanced clustering protocol which was compacted energy-aware and energy-consumption-balanced. In the lower layer of the protocol, the optimal cluster of all nodes using particle swarm optimization algorithm was realized. And in the upper layer, the chief-cluster-head, which was responsible for collecting, aggregating the data of all cluster heads and sending the fused data to the base station, was selected. Simulation results demonstrated that the protocol can efficiently decrease the dead speed of the nodes and prolong the network lifetime.
Online) An Open Access
, 2014
"... ABSTRACT The main concern in Wireless Sensor Networks is how to handle with their limited energy resources. The performance of Wireless Sensor Networks strongly depends on their lifetime. As a result, Dynamic Power Management approaches with the purpose of reduction of energy consumption in sensor ..."
Abstract
- Add to MetaCart
(Show Context)
ABSTRACT The main concern in Wireless Sensor Networks is how to handle with their limited energy resources. The performance of Wireless Sensor Networks strongly depends on their lifetime. As a result, Dynamic Power Management approaches with the purpose of reduction of energy consumption in sensor nodes, after deployment and designing of the network. Recently, there have been a strong interest to use intelligent tools especially Neural Networks in energy efficient approaches of Wireless Sensor Networks, due to their simple parallel distributed computation, distributed storage, data robustness, auto-classification of sensor nodes and sensor reading. This paper presents a new centralized adaptive Energy Based Clustering protocol through the application of Self organizing map neural networks (called EBC-S) which can cluster sensor nodes, based on multi parameters; energy level and coordinates of sensor nodes. We applied some maximum energy nodes as weights of SOM map units; so that the nodes with higher energy attract the nearest nodes with lower energy levels. Therefore, formed clusters may not necessarily contain adjacent nodes. The new algorithm enables us to form energy balanced clusters and equally distribute energy consumption. Simulation results and comparison with previous protocols (LEACH and LEA2C) prove that our new algorithm is able to extend the lifetime of the network. Keywords: Energy Based Clustering, Self Organizing Map Neural Networks, Wireless Sensor Networks INTRODUCTION The most important difference of Wireless Sensor Network (WSNs) with other wireless networks may be constraints of their resources, especially energy which usually arise from small size of sensor nodes and their batteries which is a prerequisite to WSNs main applications. The main and most important reason of WSNs creation was continuous monitoring of environments where are too hard or impossible for human to access or stay. So there is often low possibility to replace or recharge the dead nodes as well. The other important requirement is that we need a continuous monitoring so the lifetime and network coverage of these networks are our great concerns. As a result, as energy conservation is the main concern in WSNs, but also it should be gained with balanced distribution in whole network space. Balanced distribution of energy in whole network will lead to balanced death of nodes in all regions preventing from lacking network coverage in a rather large part of the network. Energy conservation should be gained by wisely management of energy sources. Several energy conservation schemes have been proposed in the literature while there is a comprehensive survey of energy conservation methods for WSNs and the taxonomy of all into three main approaches (duty-cycling, data reduction, and mobility based approaches)
A Research on Cluster Based Routing Methodologies for Wireless Sensor Networks
"... Abstract: The design of Wireless sensor networks has currently significant attention due to their limitless potential and has great value of applications such as not closely connected environmental monitoring and target tracking. This has been motivated by the development and availability of small, ..."
Abstract
- Add to MetaCart
(Show Context)
Abstract: The design of Wireless sensor networks has currently significant attention due to their limitless potential and has great value of applications such as not closely connected environmental monitoring and target tracking. This has been motivated by the development and availability of small, low cost and intelligent sensors. A wireless sensor network is a collection of sensor nodes prearranged into a cooperative network. These sensors nodes are outfitted with limited processing and computing resources. Since radio transmission and reception consumes a lot of power, one of the critical suspicions in wireless sensor network is the inherent limited battery power within the sensor nodes. Therefore battery power is one of the vital parameter for an algorithm design to increase the lifespan of the sensor node. Recent researches have been carried out in investigating diverse aspects in connection with low power routing protocols. In this paper, the focus is mainly driven towards the review of energy efficient cluster–based available routing protocols for wireless sensor network. Also a methodology by which optimal routing can be achieved in the context of energy is portrayed artistically.
Novel Multi Level Clustering Approach to Reduce Energy Consumption during Clustering Process in Wireless Sensor Networks Deepak Kumar Yadav*, Mayank Kumar Sharma**
"... Abstract- The rapid growth of network utilization raises a new concept as wireless sensor networks (WSN). Sensor networks consist of spatially distributed autonomous sensor to monitor physical or environmental conditions (i.e. temperature, sound pressure etc.) to develop area monitoring, air quality ..."
Abstract
- Add to MetaCart
(Show Context)
Abstract- The rapid growth of network utilization raises a new concept as wireless sensor networks (WSN). Sensor networks consist of spatially distributed autonomous sensor to monitor physical or environmental conditions (i.e. temperature, sound pressure etc.) to develop area monitoring, air quality monitoring, and forest fire detection kind of applications. The major design constraint with WSN is resources utilization. Subsequently, work need to perform clustering and routing using node’s information for data transmission. The work propose a novel multi cluster policy to reduce energy consumption during clustering process and overcome routing overhead on routing nodes. The proposed policy also avoids frequent election process during clustering by developing seniority table. The approach also investigates network traffic and nodes energy condition before head selection to develop dynamic clustering policy. Furthermore, work also proposed that, any variation in the network can be intimated through fault tolerant message.
PERFORMANCE ANALYSIS OF VARIOUS ENERGY EFFICIENT SCHEMES FOR WIRELESS SENSOR NETWORKS (WSN)
"... Fast growth of wireless services in recent years is an indication that considerable value is placed on wireless networks. Wireless devices have most utility when they can be used anywhere at any time. One of the greatest challenges is limited energy supplies. Therefore, energy management is one of t ..."
Abstract
- Add to MetaCart
(Show Context)
Fast growth of wireless services in recent years is an indication that considerable value is placed on wireless networks. Wireless devices have most utility when they can be used anywhere at any time. One of the greatest challenges is limited energy supplies. Therefore, energy management is one of the most challenging problems in wireless networks. In recent years, Wireless Sensor Networks have gained growing attention from both the research community and actual users. As sensor nodes are generally battery-energized devices, so the network lifetime can be widespread to sensible times. Therefore, the crucial issue is to prolong the network lifetime. In this paper, various Energy Efficient Schemes for Wireless Sensor Networks (WSN) has been compared. Many techniques like Aggregation, Scheduling, Polling, Clustering, Efficient node deployment scheme, Voting and efficient searching methods are used to increase the network life time. In the deployment of nodes using Multi Robot deployment of Nodes method, the result shows that the percentage of reduction in energy consumption is 4%. The Aggregation routing method, analysis shows that the percentage of reduction in energy consumption was 21%. The percentage of reduction in energy consumption is 26 % in the effective search technique called Increasing ray search method. In the Voting Scheme, the result gives that the percentage of improvement in energy savings is 34%. The improvement in energy saving is 51 % in the Polling method. As per the analysis, polling scheme was very much effective in terms of reducing the energy consumption in Wireless Sensor Networks.
