Results 1 - 10 of 215,952

Network Lifetime in Wireless Networks

by J. Verbree, Jan-maarten Verbree, Jan-maarten Verbree , 2007
"... Zurich in 2006, I became more and more fascinated about wireless networks and their unsolved puzzles. For my final project there was again an opportunity to work on wireless networks, which I could not resist. The research question how to maximize the network lifetime comes from Maurits de Graaf, wo ..."
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Zurich in 2006, I became more and more fascinated about wireless networks and their unsolved puzzles. For my final project there was again an opportunity to work on wireless networks, which I could not resist. The research question how to maximize the network lifetime comes from Maurits de Graaf

Networks for Network Lifetime Maximization

by Weifa Liang, Xu Xu, Weifa Liang , 2011
"... All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately. ..."
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All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.

Exploiting Sink Mobility for Maximizing Sensor Networks Lifetime

by Z. Maria Wang, Stefano Basagni, Emanuel Melachrinoudis, Chiara Petrioli - Proceedings of the 38th Annual Hawaii International Conference on System Sciences , 2005
"... Abstract—This paper explores the idea of exploiting the mobil-ity of data collection points (sinks) for the purpose of increasing the lifetime of a wireless sensor network with energy-constrained nodes. We give a novel linear programming formulation for the joint problems of determining the movement ..."
Abstract - Cited by 101 (2 self) - Add to MetaCart
Abstract—This paper explores the idea of exploiting the mobil-ity of data collection points (sinks) for the purpose of increasing the lifetime of a wireless sensor network with energy-constrained nodes. We give a novel linear programming formulation for the joint problems of determining

On sensor network lifetime and data distortion

by Aman Kansal, Aditya Ramamoorthy, Mani B Srivastava, Gregory J Pottie - In IEEE International Symposium on Information Theory (ISIT , 2005
"... Abstract — Fidelity is one of the key considerations in data collection schemes for sensor networks. A second important consideration is the energy expense of achieving that fidelity. Data from multiple correlated sensors is collected over multihop routes and fused to reproduce the phenomenon. Howev ..."
Abstract - Cited by 16 (2 self) - Add to MetaCart
. First, we describe the various factors that affect this trade-off. Second, we discuss bounds on the achievable performance with respect to this tradeoff. Specifically, we relate the network lifetime Lt to the distortion D of the delivered data. Finally, we present low-complexity approximations

Cooperative Broadcast for Maximum Network Lifetime

by Ivana Maric Member, Roy D. Yates Member
"... Abstract — We consider cooperative data broadcast in a wireless network with the objective to maximize the network lifetime. To increase the energy-efficiency, we allow the nodes that are out of the transmission range of a transmitter to collect the energy of unreliably received overheard signals. A ..."
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Abstract — We consider cooperative data broadcast in a wireless network with the objective to maximize the network lifetime. To increase the energy-efficiency, we allow the nodes that are out of the transmission range of a transmitter to collect the energy of unreliably received overheard signals

Cooperative Multicast for Maximum Network Lifetime

by Ivana Maric Member, Roy D. Yates Member
"... Abstract — We consider cooperative data multicast in a wireless network with the objective to maximize the network lifetime. We present the Maximum Lifetime Accumulative Broadcast (MLAB) algorithm that specifies the nodes ’ order of transmission and transmit power levels. We prove that the solution ..."
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Abstract — We consider cooperative data multicast in a wireless network with the objective to maximize the network lifetime. We present the Maximum Lifetime Accumulative Broadcast (MLAB) algorithm that specifies the nodes ’ order of transmission and transmit power levels. We prove that the solution

Maximizing Network Lifetime for Multicast Communication in

by Mobile Ad, Faezeh Akbari, Seyed Majid Noorhosseini, Mahnaz Imanazari Bonab , 2009
"... Energy consumption is a crucial design concern in wireless ad hoc networks since wireless nodes are typically battery-limited. Power failure of a mobile node not only affects the node itself but also its ability to forward packets on behalf of others and hence affects the overall network lifetime. T ..."
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Energy consumption is a crucial design concern in wireless ad hoc networks since wireless nodes are typically battery-limited. Power failure of a mobile node not only affects the node itself but also its ability to forward packets on behalf of others and hence affects the overall network lifetime

Maximizing Network Lifetime Operator for Wireless Sensor Networks

by Deepali Virmani
"... Optimizing and enhancing network lifetime with minimum energy consumption is the major challenge in field of wireless sensor networks. Existing techniques for optimizing network lifetime are based on exploiting node redundancy, adaptive radio transmission power and topology control. Topology control ..."
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Optimizing and enhancing network lifetime with minimum energy consumption is the major challenge in field of wireless sensor networks. Existing techniques for optimizing network lifetime are based on exploiting node redundancy, adaptive radio transmission power and topology control. Topology

Geography-informed Energy Conservation for Ad Hoc Routing

by Ya Xu, John Heidemann, Deborah Estrin - ACM MOBICOM , 2001
"... We introduce a geographical adaptive fidelity (GAF) algorithm that reduces energy consumption in ad hoc wireless networks. GAF conserves energy by identifying nodes that are equivalent from a routing perspective and then turning off unnecessary nodes, keeping a constant level of routing fidelity. GA ..."
Abstract - Cited by 1037 (22 self) - Add to MetaCart
studies of GAF show that it can consume 40% to 60% less energy than an unmodified ad hoc routing protocol. Moreover, simulations of GAF suggest that network lifetime increases proportionally to node density; in one example, a four-fold increase in node density leads to network lifetime increase for 3 to 6

Improving wireless sensor network lifetime through power aware organization

by Mihaela Cardei, Ding-zhu Du - ACM Wireless Networks , 2005
"... Abstract. A critical aspect of applications with wireless sensor networks is network lifetime. Battery-powered sensors are usable as long as they can communicate captured data to a processing node. Sensing and communications consume energy, therefore judicious power management and scheduling can eff ..."
Abstract - Cited by 152 (8 self) - Add to MetaCart
Abstract. A critical aspect of applications with wireless sensor networks is network lifetime. Battery-powered sensors are usable as long as they can communicate captured data to a processing node. Sensing and communications consume energy, therefore judicious power management and scheduling can
Results 1 - 10 of 215,952