Distributed Joint Routing and Medium Access Control for Lifetime Maximization of Wireless Sensor Networks

Seung-Jun, S.-J. Kim; Xian, Xiaodong; Madihian, M.

doi:10.1109/twc.2007.05961

Cited by 21 publications

(12 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, the major factor limiting the performance of a VSN is not the energy needed for communication, but the energy needed for accomplishing image processing tasks such as capture, detection and recognition, which is quite different from conventional scalar sensor networks [31], [32] and from studies of theoretical visual sensor networks [20]. Although it is inevitable that a large amount of energy is used for image processing, it is possible to control this through capture rate control.…”

Section: Experimental Analysismentioning

confidence: 99%

A Pervasive Network Control Algorithm for Multicamera Networks

Lee

Kim

et al. 2014

IEEE Sensors J.

View full text Add to dashboard Cite

Abstract-Owing to the increasingly large volume and complexity of captured videos, renewable energy systems based on solar energy are of particular interest in the design of energy harvesting (EH) wireless visual sensor networks (WVSNs). Since additional energy consumption following image capture occurs owing to image processing, mote operation, data transmission, and reception, the capture rate significantly affects the lifetime of a node. To this end, we explore a novel energy-efficient framework for EH-WVSN design by developing an optimal algorithm named capture rate and pervasive network control for multicamera networks where the quality of service is maximized by obtaining optimal values for the capture rate, allocated energy, and transmit power, based on field of view-based networking in the presence of event and power acquisition patterns. Through simulations, we demonstrate the feasibility of EH-WVSNs in terms of energy consumption, energy allocation, and capture rate in a realistic scenario (parking surveillance).Index Terms-Capture rate, energy harvesting, visual sensor network, IEEE 802.15.4, field of view.

show abstract

Section: Experimental Analysismentioning

confidence: 99%

A Pervasive Network Control Algorithm for Multicamera Networks

Lee

Kim

et al. 2014

IEEE Sensors J.

View full text Add to dashboard Cite

show abstract

“…In [7], the joint design for finding the transmission power and rate in the physical layer, link schedule in the medium access control (MAC) layer, and routing in the network layer is presented to maximize the lifetime of a WSN, with the assumption that each sensor node has the flexibility to adapt its transmission power, modulation scheme, and duty cycle. Similarly, a joint design of routing and MAC is given in [8] to achieve the maximal network lifetime in WSNs. A distributed primal-dual algorithm is provided, in which the primal and dual domains deal with the MAC and routing, respectively.…”

Section: Introductionmentioning

confidence: 99%

Network Lifetime Maximization With Node Admission in Wireless Multimedia Sensor Networks

Phan

Fan

Jiang

et al. 2009

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

Abstract-Wireless multimedia sensor networks (WMSNs) are expected to support multimedia services such as delivery of video and audio streams. However, due to the relatively stringent quality-of-service (QoS) requirements of multimedia services (e.g., high transmission rates and timely delivery) and the limited wireless resources, it is possible that not all the potential sensor nodes can be admitted into the network. Thus, node admission is essential for WMSNs, which is the target of this paper. Specifically, we aim at the node admission and its interaction with power allocation and link scheduling. A cross-layer design is presented as a two-stage optimization problem, where at the first stage the number of admitted sensor nodes is maximized, and at the second stage the network lifetime is maximized. Interestingly, it is proved that the two-stage optimization problem can be converted to a one-stage optimization problem with a more compact and concise mathematical form. Numerical results demonstrate the effectiveness of the two-stage and one-stage optimization frameworks.Index Terms-Admission control, cross-layer design, wireless multimedia sensor networks (WMSNs).

show abstract

“…The deployment strategies considered are variable range transmission power control, mobile data sink, multiple data sink and non-uniform initial energy assignment. A distributed joint routing and medium access control algorithm is proposed in [10]. In this paper, the authors adopt flow contention graph model for wireless MAC constraints and formulate the maximization of network lifetime as a linear programming problem.…”

Section: Introductionmentioning

confidence: 99%

A MAC-Aware Energy Efficient Reliable Transport Protocol for Wireless Sensor Networks

Dalvi

Sahoo

Deo

2009

2009 IEEE Wireless Communications and Networking Conference

View full text Add to dashboard Cite

Abstract-In a wireless sensor network (WSN), interesting events are reported to the sink by the sensors in a distributed manner. Applications running at the sink require certain reliability in terms of events per unit time to be able to run satisfactorily. Individual report from sensor nodes is not important, but collective reports from sensor nodes of a region of interest of an application are crucial. Thus, the application event rate can be split across different sensor nodes so as to optimize the usage of scarce resources in WSN such as battery power and memory. In this paper, we propose a transport protocol which provides the desired event reliability to the application, by distributing the load at a sensor among its children based on their residual energies and average MAC layer data rate. The event rate distribution happens in such a way that the application at the sink gets its required event rate and the overall energy consumption of nodes is minimized. This protocol can be used for any MAC protocol as long as the average MAC data rate is known. We take the example of two MAC protocols, Slotted CSMA and Probabilistic TDMA. We derive a method for computing average MAC data rate for these two protocols and then show, using simulations, that our transport protocol performs close to optimal.

show abstract

Distributed Joint Routing and Medium Access Control for Lifetime Maximization of Wireless Sensor Networks

Cited by 21 publications

References 29 publications

A Pervasive Network Control Algorithm for Multicamera Networks

A Pervasive Network Control Algorithm for Multicamera Networks

Network Lifetime Maximization With Node Admission in Wireless Multimedia Sensor Networks

A MAC-Aware Energy Efficient Reliable Transport Protocol for Wireless Sensor Networks

Contact Info

Product

Resources

About