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Extracting Location from Contact Traces
| Content Provider | Semantic Scholar |
|---|---|
| Author | Vasconcelos, Marisa A. Crovella, Mark |
| Copyright Year | 2008 |
| Abstract | Localization of nodes is essential for many applications. Sensor networks, routing in mobile environments as well as caching can benefit by having this extra information. Applications dealing with emergencies and rescue operations need precise and accurate localization information. Many node localization techniques have been proposed, but most of them lack in some features (non-convex areas, non-symmetric communication, other types of constraints, etc.) that are desirable to have. For example, some of the techniques require special hardware or are only effective when the nodes are close to nodes whose location is known a priori. Sextant [8] is such solution that seeks to incorporate most of the desirable features. It is a constraintbased framework which relies on connectivity information. The novel aspect of Sextant is that it relies on positive as well as negative spatial constraints. Positive constraints are based on the reception of a beacon from a nearby node. If a node cannot receive direct transmissions from another node, this constitutes a negative constraint. However, Sextant and the other techniques do not give us accurate localization estimates if we incorporate mobility of nodes. Although mobility brings several issues, we believe that mobility can offer extra information to improve the location estimates. To deal with mobility scenarios, we consider another type of constraint: temporal constraint. This constraint takes advantage of properties of time and space that limit the possible locations. For that we use adjacent timestep areas to intersect with areas increased by the maximal rate (speed) of the node’s movement. To quantify the gain obtained using temporal information, we run simulations using synthetic data |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.cs.bu.edu/techreports/pdf/2008-021-MA-Thesis-Marisa-Vasconcelos.pdf |
| Alternate Webpage(s) | https://open.bu.edu/bitstream/handle/2144/1714/2008-021-MA-Thesis-Marisa-Vasconcelos.pdf?isAllowed=y&sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
