Computational intelligence in wireless sensor networks: A survey RV Kulkarni, A Förster, GK Venayagamoorthy IEEE communications surveys & tutorials 13 (1), 68-96, 2010 | 939 | 2010 |
Machine learning techniques applied to wireless ad-hoc networks: Guide and survey A Forster 2007 3rd international conference on intelligent sensors, sensor networks …, 2007 | 188 | 2007 |
Optimized clustering algorithms for large wireless sensor networks: A review D Wohwe Sambo, BO Yenke, A Förster, P Dayang Sensors 19 (2), 322, 2019 | 165 | 2019 |
Simulating opportunistic networks: Survey and future directions J Dede, A Förster, E Hernández-Orallo, J Herrera-Tapia, K Kuladinithi, ... IEEE Communications Surveys & Tutorials 20 (2), 1547-1573, 2017 | 115 | 2017 |
FROMS: Feedback routing for optimizing multiple sinks in WSN with reinforcement learning A Forster, AL Murphy 2007 3rd international conference on intelligent sensors, sensor networks …, 2007 | 107 | 2007 |
Sensor node lifetime: An experimental study HA Nguyen, A Förster, D Puccinelli, S Giordano 2011 IEEE international conference on pervasive computing and communications …, 2011 | 101 | 2011 |
Introduction to Wireless Sensor Networks A Förster John Wiley and Sons, 2016 | 86 | 2016 |
Wireless underground sensor networks path loss model for precision agriculture (WUSN-PLM) DW Sambo, A Forster, BO Yenke, I Sarr, B Gueye, P Dayang IEEE Sensors Journal 20 (10), 5298-5313, 2020 | 76 | 2020 |
CLIQUE: Role-free clustering with Q-learning for wireless sensor networks A Forster, AL Murphy 2009 29th IEEE International Conference on Distributed Computing Systems …, 2009 | 74 | 2009 |
Predicting away robot control latency S Behnke, A Egorova, A Gloye, R Rojas, M Simon RoboCup 2003: Robot Soccer World Cup VII 7, 712-719, 2004 | 66 | 2004 |
Froms: A failure tolerant and mobility enabled multicast routing paradigm with reinforcement learning for WSNs A Förster, AL Murphy Ad Hoc Networks 9 (5), 940-965, 2011 | 57 | 2011 |
Optimal cluster sizes for wireless sensor networks: An experimental analysis A Förster, A Förster, AL Murphy International conference on ad hoc networks, 49-63, 2009 | 56 | 2009 |
On context awareness and social distance in human mobility traces A Förster, K Garg, HA Nguyen, S Giordano Proceedings of the third ACM international workshop on Mobile Opportunistic …, 2012 | 52 | 2012 |
IoTBench: Towards a benchmark for low-power wireless networking CA Boano, S Duquennoy, A Förster, O Gnawali, R Jacob, HS Kim, ... 2018 IEEE Workshop on Benchmarking Cyber-Physical Networks and Systems …, 2018 | 49 | 2018 |
Design and evaluation of MoleNet for wireless underground sensor networks I Zaman, M Gellhaar, J Dede, H Koehler, A Foerster 2016 IEEE 41st conference on local computer networks workshops (LCN …, 2016 | 36* | 2016 |
Evaluating forwarding protocols in opportunistic networks: trends, advances, challenges and best practices V Kuppusamy, UM Thanthrige, A Udugama, A Förster Future Internet 11 (5), 113, 2019 | 34 | 2019 |
A survey on mobile road side units in vanets T Karunathilake, A Förster Vehicles 4 (2), 482-500, 2022 | 30 | 2022 |
Omnet++ and mosaik: Enabling simulation of smart grid communications J Dede, K Kuladinithi, A Förster, O Nannen, S Lehnhoff arXiv preprint arXiv:1509.03067, 2015 | 27 | 2015 |
Using smartphones to profile mobility patterns in a living lab for the transition to e-mobility F Cellina, A Förster, D Rivola, L Pampuri, R Rudel, AE Rizzoli Environmental Software Systems. Fostering Information Sharing: 10th IFIP WG …, 2013 | 27 | 2013 |
Survey and comparative study of LoRa-enabled simulators for internet of things and wireless sensor networks S Idris, T Karunathilake, A Förster Sensors 22 (15), 5546, 2022 | 26 | 2022 |