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A maximum neural network algorithm for route selection problems in multihop radio networks.
- Source :
-
Electrical Engineering in Japan . 11/15/1999, Vol. 129 Issue 2, p78-86. 9p. - Publication Year :
- 1999
-
Abstract
- In a multihop radio network, packets are transmitted from course nodes to destination nodes by activating several links between nodes. Each node can either send a packet to, or receive a packet from, at most one of its adjacent nodes simultaneously. To minimize the transmission time for given requests, the problems must be solved by selecting a transmission route for each request (the routing problem) and by finding a link activation schedule (the link activation problem). The routing problem is decomposed into two subproblems: the candidate extraction problem and the route selection problem. In this paper, we propose a neural network algorithm using the maximum neuron model for the route selection problem. We verify through simulations that our algorithm finds better solutions in a shorter time than the existing algorithms. We also probe the NP-hardness of this problem. © 1999 Scripta Technica, Electr Eng Jpn, 129(2): 78–86, 1999 [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 04247760
- Volume :
- 129
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Electrical Engineering in Japan
- Publication Type :
- Academic Journal
- Accession number :
- 13348642
- Full Text :
- https://doi.org/10.1002/(SICI)1520-6416(19991115)129:2<78::AID-EEJ9>3.0.CO;2-Q