Dijkstra-based localized multicast routing in Wireless Sensor Networks

Musznicki, Bartosz; Tomczak, Mikołaj; Zwierzykowski, Piotr

doi:10.1109/csndsp.2012.6292692

Cited by 31 publications

(12 citation statements)

References 15 publications

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“…In the proposed method, if we can reach from Source to Destination in same cost with two different paths P1 & P2 then select minimum path weight as well as minimum nodes between Source to Destination. [9] There are four possible paths between Source to Destination. Lifetime of network is defined by the lifetime of the nodes of the network.…”

Section: Discussionmentioning

confidence: 99%

Magnify Lifeless Nodes in WSN Using Shortest Path ALGO for Reducing Energy Diversion

Bakshi¹,

Srivastava²

2018

IJETR

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Abstract-To magnify network of lifeless node in Wireless Sensor Networks (WSNs).The selection of path for data deportation are eclectic in such a form that the over all energy absorbed along the path is lessen. Wireless sensor network is a set of a large number of small devices which gain information from physical environment using sensor nodes. These nodes measure, store and send the information to other nodes in the network. To transmit data sensor nodes require battery power. So power boost is a major issue in wireless sensor network. To support high extensible and better data gathering, sensor nodes are often grouped into dislocate, non-flapping subsets called clusters. An efficient routing algorithm is required to utilize power of nodes. In this paper we aim to improve network lifetime using LEACH based protocol. We are using DBEA-LEACH (distance-based energy aware) additionally selects a cluster head not only based on distance, but also by examining residual energy of the node greater than the average residual energy level of nodes in the network. We propose the enhanced LEACH convention for first node die time upgrade. In this paper i am doing one more enhancement to use Dijkstra's algorithm as routing algorithm to reduce power consumption. We are using Dijkstra"s algorithm to reduce the power consumption and finding the shortest power consumed path between Source to Destination using minimum number no nodes.

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Section: Discussionmentioning

confidence: 99%

Magnify Lifeless Nodes in WSN Using Shortest Path ALGO for Reducing Energy Diversion

Bakshi¹,

Srivastava²

2018

IJETR

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“…Li et al present, in turn, a view that topology control is a fundamental benchmark "which characterizes how well a sensing field is monitored and how well each pair of sensors is mutually connected in WSNs" [34]. Consequently, studies related to topology control may include investigations into operational management and transmitting power control of radio modules [35], [36], energy-harvesting [37], interference prediction [38], as well as sensor placement [39], network coverage [40], logical network structure and message routing [41], [42], node functional diversification and hierarchy (e.g. chaining [43], and clustering [44]).…”

Section: General Objectives Of Network Topology Controlmentioning

confidence: 99%

Empirical Approach in Topology Control of Sensor Networks for Urban Environment

Musznicki¹

2019

JTIT

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Research into the topology control of Wireless Sensor Networks (WSNs) is geared towards modeling and analysis of methods that may be potentially harnessed to optimize the structure of connections. However, in practice, the ideas and concepts provided by researchers have actually been rarely used by network designers, while sensor systems that have already been deployed and are under continued development in urban environments frequently differ from the patterns and research models available. Moreover, easy access to diversified wireless technologies enabling new solutions to be empirically developed and popularized has also been conducive to strengthening this particular trend. -empirical approach, node deployment, sensor network, topology control, urban environment, WSN. Keywords

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“…Another multicast WSN protocol can be found in literature. In [15] authors started by presenting a classification of the most common WSN multicast procedures depending on the way a target group is identified by the means of geographic position. They proposed a new protocol named Dijkstra-based Localized Energy-Efficient Multicast Algorithm (DLEMA) which is based on Localized Energy-Efficient Multicast Algorithm (LEMA) [16].…”

Section: Related Work a Short Surveymentioning

confidence: 99%

Determining Requirements for an Optimal Ad-Hoc Multicast Protocol in Mobile Health Care Training Systems

Zarrad

Mahlous

2015

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Nowadays, Health Care Training-based System (HCTS) is a vital component in the education and training of health care in 3D Virtual Environment (VE). The practice of HCTS continues to grow at rapid pace throughout all of the healthcare disciplines, however research in this field is still in its early stage. Increasingly, decision makers and developers look forward to offer more sophisticated, much larger, and more complex HCTS to serve the desired outcome and improve the quality and safety of patient care. Due to the rapidly increasing usage of personal mobile devices and the need of executing HCTS applications in environments that have no previous network infrastructure available, Mobile Health Care Training-based System (MHCTS) is an expected future trend. In such systems, medical staff will share and collaborate in a 3D virtual environment through their mobile devices in an ad-hoc network (MANET) in order to accomplish specific missions' typically surgical emergency room. Users are organized into various groups (Radiologists, Maternity departments, and General surgery etc...), and need to be managed by a multicast scheme to save network bandwidth and offer immersive sense. MHCTS is sensitive to networking issues, since interactive 3D graphics requires additional load due to the use of mobile devices. Therefore, we need to emphasize on the importance and the improvement of multicast techniques for the effectiveness of MHCTS and the management of collaborative group interaction. Research so far has devoted little attention to the network communication protocols design of such systems which is crucial to preserve the sense of immersion for participating users. In this paper, we investigate the effect of multicast routing protocol in advancing the field of Health care Training-based System to the benefit of patient's safety, and health care professional. Also, we address the issue of selecting a multicast protocol to provide the best performance for a particular e-health system at any time. Previous work has demonstrated that multicast operates at least as efficiently as traditional MAODV. A comprehensive analysis about various ad-hoc multicast routing protocols is proposed. The selection key factors for the right protocol for MHCTS applications were safety and robustness. To the best of our knowledge, this work will be the first initiative involving systematic A. Zarrad, A. R. Mahlous 82 literature reviews to identify a research gate for the use of multicast protocol in health care simulation learning community.

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Dijkstra-based localized multicast routing in Wireless Sensor Networks

Cited by 31 publications

References 15 publications

Magnify Lifeless Nodes in WSN Using Shortest Path ALGO for Reducing Energy Diversion

Magnify Lifeless Nodes in WSN Using Shortest Path ALGO for Reducing Energy Diversion

Empirical Approach in Topology Control of Sensor Networks for Urban Environment

Determining Requirements for an Optimal Ad-Hoc Multicast Protocol in Mobile Health Care Training Systems

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