QoS control for sensor networks

Iyer, R.K.; Kleinrock, Leonard

doi:10.1109/icc.2003.1204230

Cited by 154 publications

(136 citation statements)

References 8 publications

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“…The game was initially studied in the general learning domain and was considered an interesting pathological game. Recently, it was applied in QoS (Quality of Service) support in wireless sensor networks Iyer & Kleinrock (2003), Chen & Varshney (2004), in controlling wings with integrated check-valve electrostatic actuators Ho et al (2002), and in cooperative mobile robotics Cao et al (1997), Tung & Kleinrock (1996).…”

Section: "Imagine a Large Room Containing N Cubicles And A Raised Plamentioning

confidence: 99%

Modeling with Non-cooperative Agents: Destructive and Non-Destructive Search Algorithms for Randomly Located Objects

Calitoiu¹,

Milici²

2011

Search Algorithms and Applications

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The problem of plastic anti-personal mine detection is well known. These devices are typically 75mm in diameter and between 25mm to 50mm in thickness. Some types contain no metal, but their explosive (RDX, TNT) can be considered as a dielectric material with a dielectric constant between 3.5 and 4.0. This electromagnetic property enables a radar to identify mines. It is true that the radars operating "through the air" provide a high detection rate. However, in the case of operating "into the ground", the problems are significant and inherently reduce performance. Target identification is done in the presence of the air-ground interface, which usually produces a higher amplitude signal than an anti-personal mine Chignell (1998). This context can justify why the difficulties of detecting anti-personal mines are formidable. A family of search mobots controlled by a new algorithm proposed in this research could be a solution 1 for operating on the ground. In this Chapter we 2 address the general question of what is the best strategy to search efficiently for randomly located objects (target sites). We propose a new agent based algorithm for searching in an unpredictable environment. The originality of our work consists in applying a non-cooperative strategy, namely the distributed Goore Game model, as opposed to applying the classical collaborative and competitive strategies, or individual strategies. This research covers both the destructive search and the non-destructive search. The first occurs when the agent visits the target only one time. The latter can be performed in either of the two cases -if the target becomes temporarily inactive or if it leaves the area. The proposed algorithm has two versions: one when the agent can move with a step equal to unity and the other when the step of the agent follows a Levy flight distribution. The second version is inspired by the work of A.M. Reynolds et al.

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Section: "Imagine a Large Room Containing N Cubicles And A Raised Plamentioning

confidence: 99%

Modeling with Non-cooperative Agents: Destructive and Non-Destructive Search Algorithms for Randomly Located Objects

Calitoiu¹,

Milici²

2011

Search Algorithms and Applications

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“…These models can help us to define the QoS metrics more precisely. In [3], the authors present a QoS control for WSN. They assume a broadcast channel for the base station to dynamically control the number of active sensors in virtue of the Gur Game mathematical paradigm.…”

Section: Related Workmentioning

confidence: 99%

Target Tracking with QoS Support in Large Wireless Sensor Networks

Shirazi¹,

Wang²,

Dong³

et al. 2009

WSN

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Quality of Service (QoS) is important in the application of target tracking in wireless sensor networks (WSNs). When a target appears, it will trigger an event from one or more sensors. A target can only be accurately detected if a certain number of event packets are received by the sink in a predetermined detection time interval. In this paper, we propose a buffer management scheme based on event ordering to achieve QoS. We also propose a directional QoS-aware routing protocol (DQRP) for the dissemination of the event ordering list. After the dissemination, a priority queue buffer management scheme is used to ensure QoS. Our buffer management scheme works in conjunction with DQRP to ensure accurate as well as energy-efficient target detection in the presence of multiple targets. The novelty of our network architecture is that a distributed admission control scheme is implemented on each node based on a geographic routing algorithm. In our scenario, a target can only be accurately detected if a certain number of event packets are received by the sink in a predetermined detection time interval. Our main performance metric is the number of targets/events being detected. Our protocol maximizes the number of targets being detected.

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“…Some of the application specific QoS parameters are data accuracy, aggregation delay, fault tolerance, coverage [6], optimum number of active sensors [5] etc. The application demands certain requirements from the deployment of sensors which are directly related to the quality of application.…”

Section: Application Specific Qosmentioning

confidence: 99%

Quality of Service (QoS) Provisions in Wireless Sensor Networks and Related Challenges

Bhuyan¹,

Sarma²,

Sarma³

et al. 2010

WSN

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Wireless sensor networks (WSNs) are required to provide different levels of Quality of Services (QoS) based on the type of applications. Providing QoS support in wireless sensor networks is an emerging area of research. Due to resource constraints like processing power, memory, bandwidth and power sources in sensor networks, QoS support in WSNs is a challenging task. In this paper, we discuss the QoS requirements in WSNs and present a survey of some of the QoS aware routing techniques in WSNs. We also explore the middleware approaches for QoS support in WSNs and finally, highlight some open issues and future direction of research for providing QoS in WSNs.

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QoS control for sensor networks

Cited by 154 publications

References 8 publications

Modeling with Non-cooperative Agents: Destructive and Non-Destructive Search Algorithms for Randomly Located Objects

Modeling with Non-cooperative Agents: Destructive and Non-Destructive Search Algorithms for Randomly Located Objects

Target Tracking with QoS Support in Large Wireless Sensor Networks

Quality of Service (QoS) Provisions in Wireless Sensor Networks and Related Challenges

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