Topology management for sensor networks

Schurgers, Curt; Tsiatsis, Vlasios; Ganeriwal, Saurabh; Srivastava, Mani

doi:10.1145/513800.513817

Cited by 244 publications

(59 citation statements)

References 13 publications

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“…In other words, cross-layer optimization of network protocol operation is needed; the feasibility of this optimization is determined by the communication technology used to implement the network. This problem has classically been treated only as a graph-theoretical problem where only connectivity has been addressed [17,9] or addresses the collision based MAC [4] although it does not allow the active node to get into the sleep state and achieve load balancing among the nodes. Second group of proposals [11,7] tries to regulate the event sensing reliability but without looking at MAC and PHY properties at all.…”

Section: Impact Of the Wireless Technologiesmentioning

confidence: 99%

Wireless Sensor Networks for Clinical Information Systems: A Security Perspective

Mišić

2006

26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06)

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High quality healthcare environment is an important aspect of modern society. We investigate security and networking architecture of clinical information system, with emphasis on the wireless hop which includes sensor networks and wireless local area or mesh networks. We review confidentiality and integrity polices for clinical information systems and discuss the feasible enforcement mechanisms over wireless hop. * J. Mišić and V. B. Mišić are with the

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Section: Impact Of the Wireless Technologiesmentioning

confidence: 99%

Wireless Sensor Networks for Clinical Information Systems: A Security Perspective

Mišić

2006

26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06)

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“…GPS or other positioning system is required to get the location information for grid formation. Sparse Topology and Energy Management (STEM) [15] exploits a separate paging channel to wake up nodes to trade off setup latency for energy savings. A low duty cycle radio is used to reduce the energy consumption of the paging channel.…”

Section: Related Workmentioning

confidence: 99%

Gossip-based sleep protocol (GSP) for energy efficient routing in wireless ad hoc networks

Hou

Tipper

2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733)

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In this paper, we propose a novel energy saving scheme, termed the Gossip-based Sleep Protocol (GSP). With GSP, each node randomly goes to sleep for some time with gossip sleep probability p. When the value of p is small enough, the network stays connected. GSP does not require a wireless node to maintain the states of other nodes. It requires few operations and scales to large networks. We propose two versions of GSP, one for synchronous networks and one for asynchronous networks, and show the advantages of the GSP approach through both simulations and analysis.

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“…This in turn, may lead to sections of the network being left without connectivity well in advance of other sections. In addition, to make sure that all nodes will be able to do routing, GAF needs a topology management for coordinating the sleep transitions of all nodes [7]. This management increases the complexity of the network.…”

Section: Related Workmentioning

confidence: 99%

Energy-Conservation Clustering Protocol Based on Heat Conductivity for Wireless Sensor Networks

Matrouk

Landfeldt

Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004.

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One of the most critical issues in wireless sensor networks is energy efficiency because of the limited energy network nodes can store in batteries. Therefore, these networks require robust wireless communication protocols that are designed to be energy-efficient. In this paper, we introduce a Routing protocol based on an Energy-Temperature Transformation principle, called RETT. Our objectives are to maximize the lifespan of the entire network rather than maximizing the life span for individual nodes. We do this to avoid sections of the network becoming unreachable when critical nodes along a routing path run out of power. In RETT, which is a cluster based protocol, the head of cluster will be able to select the optimal route for sending or relaying the data from the source towards the base station. RETT is based on a thermo dynamic analogy where by expected life spans are transformed into temperatures and the routing algorithm is searching for the hottest path between the source and the destination.

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Topology management for sensor networks

Cited by 244 publications

References 13 publications

Wireless Sensor Networks for Clinical Information Systems: A Security Perspective

Wireless Sensor Networks for Clinical Information Systems: A Security Perspective

Gossip-based sleep protocol (GSP) for energy efficient routing in wireless ad hoc networks

Energy-Conservation Clustering Protocol Based on Heat Conductivity for Wireless Sensor Networks

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