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Topology management for sensor networks: exploiting latency and density (2002)
| Content Provider | CiteSeerX |
|---|---|
| Author | Schurgers, Curt Tsiatsis, Vlasios Ganeriwal, Saurabh Srivastava, Mani |
| Description | In wireless sensor networks, energy efficiency is crucial to achieve satisfactory network lifetime. In order to reduce the energy consumption of a node significantly, its radio needs to be turned off. Yet, some nodes have to participate in multi-hop packet forwarding. We tackle this issue by exploiting two degrees of freedom in topology management: the path setup latency and the network density. First, we propose a new technique called Sparse Topology and Energy Management (STEM), which aggressively puts nodes to sleep. It provides a method to wake up nodes only when they need to forward data, where latency is traded off for energy savings. Second, STEM integrates efficiently with existing approaches that leverage the fact that nearby nodes can be equivalent for traffic forwarding. In this case, an increased network density results in more energy savings. We analyze a hybrid scheme, which takes advantage of both setup latency and network density to increase the nodes ’ lifetime. Our results show improvements of nearly two orders of magnitude compared to sensor networks without topology management. Categories and Subject Descriptors C.2.1 [Computer-communication networks]: Network |
| File Format | |
| Language | English |
| Publisher Date | 2002-01-01 |
| Publisher Institution | Proceeding of MobiHoc’02 135 |
| Access Restriction | Open |
| Subject Keyword | Energy Management Computer-communication Network Network Density Network Density Result Energy Consumption Node Lifetime Setup Latency Energy Saving Topology Management New Technique Traffic Forwarding Exploiting Latency Nearby Node Energy Efficiency Hybrid Scheme Radio Need Path Setup Latency Wireless Sensor Network Sensor Network Subject Descriptor Satisfactory Network Lifetime Sparse Topology Multi-hop Packet Forwarding |
| Content Type | Text |
| Resource Type | Article |
