Performance evaluation of single and multi-channel actor to actor communication for wireless sensor actor networks

Vassis, Dimitris; Kormentzas, George; Skianis, Charalabos

doi:10.1016/j.adhoc.2005.02.001

Cited by 20 publications

(9 citation statements)

References 15 publications

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“…We propose a distributed clustering algorithm which considerably reduces the traffic in large-scale WSNs. Then, we combine a multi-channel system to our approach because it has been advocated as one way of significantly scaling capacity and lifetime of the network [9]. Indeed, if the node density is very high, the level of interference is also very high, and the overall network capacity is compromised [10].…”

Section: Related Work and Objectivesmentioning

confidence: 99%

Multi-channel clustering algorithm for improving performance of large-scale wireless multi-sink sensor networks

Kone

David

Lepage

2010

Proceedings of the 6th International Wireless Communications and Mobile Computing Conference

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This paper presents a simple and distributed clustering algorithm suitable for large-scale wireless sensor networks (WSNs) consisting of several thousands of sensor nodes and few sink nodes. A two-tiered hierarchical architecture is used to increase scalability and ensure performances and durability of such a system: Level 1 called sensor network is partitioned into several equilibrate clusters with one leader or sink by cluster; Level 2 also called sink network is composed by N sink nodes placed in planned manner into monitored region and is connected through IEEE 802.11 radio interfaces. A multi-channel system is used to create a cellular structure by assigning one frequency channel per cluster. We use simulation technique to evaluate and compare the impact of two distributed schemes (a single channel one and a multi-channel one) on network capacity like traffic load, energy consumption, medium access delay, end-to-end delay and data delivery ratio.

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Section: Related Work and Objectivesmentioning

confidence: 99%

Multi-channel clustering algorithm for improving performance of large-scale wireless multi-sink sensor networks

Kone

David

Lepage

2010

Proceedings of the 6th International Wireless Communications and Mobile Computing Conference

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“…In a WSAN sensors nodes are small, static and economics devices with limited power, computation, and communication capabilities [3]; these devices behave like passive elements which monitor the physical environment. On the other hand, the actuators are active elements with more energy, stronger computation resources, and longer transmission ranges; all these characteristics enable an actuator that make independent decisions to execute appropriate actions in accordance to the collected information [4]. Consequently, a WSAN can be integrated as part of a system for a great variety of applications, such as, microclimate control in a building or a greenhouse, automation of industrial processes, control of ventilation systems and heating [5].…”

Section: Introductionmentioning

confidence: 99%

Design Issues and Considerations for Coordination Mechanisms in Wireless Sensor and Actuator Networks

Ruiz-Ibarra

Villasenor-Gonzalez

Santos

2007

Electronics, Robotics and Automotive Mechanics Conference (CERMA 2007)

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A Wireless sensor and actuator network (WSAN) is commonly integrated by a large quantity of sensor nodes and a lower number of actuator nodes which communicate throughout the wireless medium providing distributed sensing and executing specific tasks according to the events monitored in a specific area of interest. The sensors are involved in monitoring the physical environment, while the actuators execute specific actions in response to the data provided by the sensors. In this way, sensors and actuators coordinate in an efficient way while trying to respond within the comply with the requirements of the application; to achieve this a coordination mechanism is implemented to allow the sensor and actuator nodes to make an optimum assignment of resources, while enabling a response with the lowest possible delay. This work presents the basic design considerations to take into account in the design of a coordination mechanism for WSANs; it also presents a brief comparative analysis among the most representative coordination mechanisms proposed in the area of WSANs.

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“…WSANs are composed of sensors and actuators distributed in a geographic area of interest. Sensors are devices of low processing capacity, very low power consumption, and low cost, responsible for monitoring the physical environment, while the actuators perform a task according to the collected data and reported by sensors during an event [1]. In WSANs, knowing the position of the sensor nodes is very important, since it enables determining the geographic localization of an event, and a timely response to this, apart from facilitating the routing through the network and reduce the node power consumption [2].…”

Section: Introductionmentioning

confidence: 99%

Weighted Hyperbolic DV-Hop Positioning Node Localization Algorithm in WSNs

Mass-Sanchez

Ruiz-Ibarra

Cortez

et al. 2016

Wireless Pers Commun

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The localization of nodes plays a fundamental role in Wireless Sensor and Actors Networks (WSAN) identifying geographically where an event occurred, which facilitates timely response to this action. This article presents a performance evaluation of multi-hop localization range-free algorithms used in WSAN, such as Distance Vector Hop (DV-Hop), Improved DV-Hop (IDV-Hop), and the Weighted DV-Hop (WDV-Hop). In addition, we propose a new localization algorithm, merging WDV-Hop, with the weighted hyperbolic localization algorithm (WH), which includes weights to the correlation matrix of the estimated distances between the node of interest (NOI) and the reference nodes (RN) in order to improve accuracy and precision. As performance metrics, the accuracy, precision, and computational complexity are evaluated. The algorithms are evaluated in three scenarios where all nodes are randomly distributed in a given area, varying the number of RNs, the density of nodes in the network, and radio coverage of the nodes. The results show that in networks with 100 nodes, WDV-Hop outperforms the DV-Hop and IDV-Hop even if the number of RNs is reduced to 10. Moreover, our proposal shows an improvement in terms of accuracy and precision at the cost of increased computational complexity, specifically in the algorithm execution time, but without affecting the hardware cost or power consumption.

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Performance evaluation of single and multi-channel actor to actor communication for wireless sensor actor networks

Cited by 20 publications

References 15 publications

Multi-channel clustering algorithm for improving performance of large-scale wireless multi-sink sensor networks

Multi-channel clustering algorithm for improving performance of large-scale wireless multi-sink sensor networks

Design Issues and Considerations for Coordination Mechanisms in Wireless Sensor and Actuator Networks

Weighted Hyperbolic DV-Hop Positioning Node Localization Algorithm in WSNs

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