Utilizing distributed learning automata to solve the connected target coverage problem in directional sensor networks-Reference-Cited by-同舟云学术

Utilizing distributed learning automata to solve the connected target coverage problem in directional sensor networks

Published:2013-08 Issue: Volume:198 Page:21-30
ISSN:0924-4247
Container-title:Sensors and Actuators A: Physical
language:en
Short-container-title:Sensors and Actuators A: Physical

Author:

Mohamadi Hosein,Ismail Abdul Samad,Salleh Shaharuddin

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Metals and Alloys,Surfaces, Coatings and Films,Condensed Matter Physics,Instrumentation,Electronic, Optical and Magnetic Materials

Reference27 articles.

1. On coverage issues in directional sensor networks: a survey;Amac Guvensan;Ad Hoc Networks,2011

2. Priority-based target coverage in directional sensor networks using a genetic algorithm;Wang;Computers & Mathematics with Applications,2009

3. Lifetime maximization considering target coverage and connectivity in directional image/video sensor networks;Kim;Journal of Supercomputing,2011

4. Coverage by directional sensors in randomly deployed wireless sensor networks;Ai;Journal of Combinatorial Optimization,2006

5. Energy efficient target-oriented scheduling in directional sensor networks;Yanli;IEEE Transactions on Computers,2009

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3. A new approach to solving target coverage problem in wireless sensor networks using an effective hybrid genetic algorithm and tabu search;Journal of Intelligent & Fuzzy Systems;2021-10-28

4. A new genetic-based approach for solving k-coverage problem in directional sensor networks;Journal of Parallel and Distributed Computing;2021-08

5. The Sector Cover and Transmission Weighted Greedy Algorithm for Connected Target Coverage in Directional Sensor Networks;2020 The 9th International Conference on Networks, Communication and Computing;2020-12-18