Timeslot mechanism in neighborhood discovery for wireless sensor networks
Neighborhood discovery (ND) in a wireless sensor network is a process of identifying the sensors that a given node can communicate directly. In ND task, each node is assigned its own N timeslots, with equal slot intervals. In each slot, each node chooses either to transmit or listen, with probabilit...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/63693/ http://dx.doi.org/10.1063/1.4887639 |
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| Institution: | Universiti Teknologi Malaysia |
| Summary: | Neighborhood discovery (ND) in a wireless sensor network is a process of identifying the sensors that a given node can communicate directly. In ND task, each node is assigned its own N timeslots, with equal slot intervals. In each slot, each node chooses either to transmit or listen, with probabilities p and 1-p respectively. Our objectives are to analyze the optimal value of p, and model the formulation of N by mapping the problem to the occupancy problem, i.e one of the popular problem in probability theory. A number of simulations are performed and the results are compared to the theoretical formulation. |
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