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ORCIDPaal E. Engelstad
Paal Einar Engelstad – Paal Engelstad
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2020 – today
- 2024
[j22]Roza Abolghasemi
, Enrique Herrera-Viedma, Paal Engelstad, Youcef Djenouri, Anis Yazidi:
A graph neural approach for group recommendation system based on pairwise preferences. Inf. Fusion 107: 102343 (2024)- [j21]Mehak Khan, Gustavo B. M. Mello, Laurence Habib, Paal Engelstad, Anis Yazidi:
HITS-based Propagation Paradigm for Graph Neural Networks. ACM Trans. Knowl. Discov. Data 18(4): 100:1-100:23 (2024) - [c103]Li Meng, Morten Goodwin, Anis Yazidi, Paal E. Engelstad:
State Representation Learning Using an Unbalanced Atlas. ICLR 2024 - [i10]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
A Manifold Representation of the Key in Vision Transformers. CoRR abs/2402.00534 (2024) - [i9]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Maximum Manifold Capacity Representations in State Representation Learning. CoRR abs/2405.13848 (2024) - 2023
- [j20]Ashish Rauniyar, Olav N. Østerbø, Jan Erik Håkegård, Paal Engelstad:
Exploiting Cooperative Downlink NOMA in D2D Communications. Sensors 23(8): 3958 (2023) - [j19]Li Meng, Morten Goodwin, Anis Yazidi, Paal E. Engelstad:
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise. IEEE Trans. Games 15(4): 580-589 (2023) - [c102]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Unsupervised State Representation Learning in Partially Observable Atari Games. CAIP (2) 2023: 212-222 - [c101]Alf-Andre Walla, Paal E. Engelstad:
Introducing TinyKVM for High-Performance CDN Edge Services. CloudCom 2023: 18-25 - [c100]Ashish Rauniyar, Olav N. Østerbø, Jan Erik Håkegård, Paal E. Engelstad:
Ergodic Performance Analysis of Reconfigurable Intelligent Surface Enabled Bidirectional NOMA. ITNAC 2023: 128-133 - [i8]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Unsupervised Representation Learning in Partially Observable Atari Games. CoRR abs/2303.07437 (2023) - [i7]Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad:
It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting. CoRR abs/2303.13177 (2023) - [i6]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
State Representation Learning Using an Unbalanced Atlas. CoRR abs/2305.10267 (2023) - 2022
- [j18]Ramesh Upreti, Ashish Rauniyar, Jeevan Kunwar, Hårek Haugerud, Paal Engelstad, Anis Yazidi:
Adaptive pursuit learning for energy-efficient target coverage in wireless sensor networks. Concurr. Comput. Pract. Exp. 34(7) (2022) - [j17]Ramtin Aryan, Anis Yazidi, Frode Brattensborg, Øivind Kure, Paal Einar Engelstad:
SDN Spotlight: A real-time OpenFlow troubleshooting framework. Future Gener. Comput. Syst. 133: 364-377 (2022) - [j16]Roza Abolghasemi, Paal Engelstad, Enrique Herrera-Viedma, Anis Yazidi:
A personality-aware group recommendation system based on pairwise preferences. Inf. Sci. 595: 1-17 (2022) - [j15]Roza Abolghasemi, Rabindra Khadka, Pedro G. Lind, Paal Engelstad, Enrique Herrera-Viedma, Anis Yazidi:
Predicting missing pairwise preferences from similarity features in group decision making. Knowl. Based Syst. 256: 109860 (2022) - [c99]Mehak Khan, Gustavo B. M. Mello, Paal Engelstad, Laurence Habib, Anis Yazidi:
HITS-GNN: A Simplified Propagation Scheme for Graph Neural Networks. IEEE Big Data 2022: 5514-5519 - [c98]Martin Holen, Else-Line Malene Ruud, Narada Dilp Warakagoda, Morten Goodwin, Paal Engelstad, Kristian Muri Knausgård:
Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. EANN 2022: 461-474 - [c97]Li Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad:
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples. NLDL 2022 - [i5]Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad:
Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses. CoRR abs/2201.03229 (2022) - [i4]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Improving the Diversity of Bootstrapped DQN via Noisy Priors. CoRR abs/2203.01004 (2022) - [i3]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Deep Reinforcement Learning with Swin Transformer. CoRR abs/2206.15269 (2022) - [i2]Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad:
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures. CoRR abs/2208.13585 (2022) - 2021
- [j14]Ramtin Aryan, Anis Yazidi, Øivind Kure, Paal Einar Engelstad:
A parallel approach for detecting OpenFlow rule anomalies based on a general formalism. Concurr. Comput. Pract. Exp. 33(15) (2021) - [j13]Desta Haileselassie Hagos, Anis Yazidi, Øivind Kure, Paal E. Engelstad:
A Machine-Learning-Based Tool for Passive OS Fingerprinting With TCP Variant as a Novel Feature. IEEE Internet Things J. 8(5): 3534-3553 (2021) - [j12]Ashish Rauniyar, Paal Engelstad, Olav N. Østerbø:
Ergodic sum capacity analysis of NOMA-SWIPT enabled IoT relay systems. Internet Technol. Lett. 4(2) (2021) - [i1]Li Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad:
Expert Q-learning: Deep Q-learning With State Values From Expert Examples. CoRR abs/2106.14642 (2021) - 2020
- [j11]Ashish Rauniyar, Paal Engelstad, Olav N. Østerbø:
Capacity enhancement of NOMA-SWIPT IoT relay system with direct links over rayleigh fading channels. Trans. Emerg. Telecommun. Technol. 31(12) (2020) - [c96]Desta Haileselassie Hagos, Martin Løland, Anis Yazidi, Øivind Kure, Paal E. Engelstad:
Advanced Passive Operating System Fingerprinting Using Machine Learning and Deep Learning. ICCCN 2020: 1-11 - [c95]Ramtin Aryan, Anis Yazidi, Adel Bouhoula, Paal Einar Engelstad:
Net Auto-Solver: A formal approach for automatic resolution of OpenFlow anomalies. LCN 2020: 357-360 - [c94]Ashish Rauniyar, Paal Engelstad, Olav N. Østerbø:
Exploiting SWIPT for IoT NOMA-based Diamond Relay Networks. MobiQuitous 2020: 137-146 - [c93]Ashish Rauniyar, Anis Yazidi, Paal Engelstad, Olav N. Østerbø:
A Reinforcement Learning based Game Theoretic Approach for Distributed Power Control in Downlink NOMA. NCA 2020: 1-10 - [c92]Ashish Rauniyar, Paal Engelstad, Olav N. Østerbø:
An Adaptive User Pairing Strategy for Uplink Non-Orthogonal Multiple Access. PIMRC 2020: 1-7 - [c91]Ashish Rauniyar, Paal Engelstad, Olav N. Østerbø:
Ergodic Capacity Performance of D2DIoT Relay NOMA-SWIPT Systems with Direct Links. TSP 2020: 117-123 - [c90]Ashish Rauniyar, Paal Engelstad, Olav N. Østerbø:
Ergodic Capacity Performance of NOMA-SWIPT Aided IoT Relay Systems with Direct Link. WiOpt 2020: 222-229
2010 – 2019
- 2019
- [j10]Endre Hegland Hjort Kure, Paal Engelstad, Sabita Maharjan, Stein Gjessing, Yan Zhang:
Distributed Uplink Offloading for IoT in 5G Heterogeneous Networks Under Private Information Constraints. IEEE Internet Things J. 6(4): 6151-6164 (2019) - [c89]Ashish Rauniyar, Jeevan Kunwar, Hårek Haugerud, Anis Yazidi, Paal Engelstad:
Energy Efficient Target Coverage in Wireless Sensor Networks Using Adaptive Learning. DiCES-N@ICTAC 2019: 133-147 - [c88]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Carsten Griwodz:
A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP. IPCCC 2019: 1-10 - [c87]Ramtin Aryan, Frode Brattensborg, Anis Yazidi, Paal Einar Engelstad:
Checking the OpenFlow Rule Installation and Operational Verification. LCN 2019: 250-253 - [c86]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi:
Classification of Delay-based TCP Algorithms From Passive Traffic Measurements. NCA 2019: 1-10 - 2018
- [j9]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure:
General TCP State Inference Model From Passive Measurements Using Machine Learning Techniques. IEEE Access 6: 28372-28387 (2018) - [j8]Ashish Rauniyar, Paal Engelstad, Olav N. Østerbø:
RF Energy Harvesting and Information Transmission Based on NOMA for Wireless Powered IoT Relay Systems. Sensors 18(10): 3254 (2018) - [c85]Endre Hegland Hjort Kure, Paal Engelstad, Sabita Maharjan, Stein Gjessing, Xing Zhang, Yan Zhang:
Energy Usage Forecasting for LTE: A Network-Wide Traffic Measurements Study. GLOBECOM Workshops 2018: 1-6 - [c84]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure:
Towards a Robust and Scalable TCP Flavors Prediction Model from Passive Traffic. ICCCN 2018: 1-11 - [c83]Ashish Rauniyar, Paal Engelstad, Olav N. Østerbø:
RF Energy Harvesting and Information Transmission in IoT Relay Systems based on Time Switching and NOMA. ITNAC 2018: 1-7 - [c82]Ramtin Aryan, Anis Yazidi, Paal Einar Engelstad:
An Incremental Approach for Swift OpenFlow Anomaly Detection. LCN 2018: 502-510 - [c81]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure:
Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements. NCA 2018: 1-10 - [c80]Ashish Rauniyar, Paal Engelstad, Olav N. Østerbø:
RF Energy Harvesting and Information Transmission Based on Power Splitting and NOMA for IoT Relay Systems. NCA 2018: 1-8 - [c79]Ashish Rauniyar, Paal Engelstad, Jonas Moen:
A New Distributed Localization Algorithm Using Social Learning Based Particle Swarm Optimization for Internet of Things. VTC Spring 2018: 1-7 - [c78]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure:
A machine learning approach to TCP state monitoring from passive measurements. Wireless Days 2018: 164-171 - 2017
- [j7]Kyrre Wahl Kongsgård, Nils Agne Nordbotten, Federico Mancini, Raymond Haakseth, Paal E. Engelstad:
Data Leakage Prevention for Secure Cross-Domain Information Exchange. IEEE Commun. Mag. 55(10): 37-43 (2017) - [c77]Desta Haileselassie Hagos, Anis Yazidi, Øivind Kure, Paal E. Engelstad:
Enhancing Security Attacks Analysis Using Regularized Machine Learning Techniques. AINA 2017: 909-918 - [c76]Kyrre Wahl Kongsgård, Nils Agne Nordbotten, Federico Mancini, Paal E. Engelstad:
An Internal/Insider Threat Score for Data Loss Prevention and Detection. IWSPA@CODASPY 2017: 11-16 - [c75]Van Thuan Do, Paal Engelstad, Boning Feng, Thanh Van Do:
Detection of DNS Tunneling in Mobile Networks Using Machine Learning. ICISA 2017: 221-230 - [c74]Thanh Van Do, Paal Engelstad, Boning Feng, Do van Thuan:
A near real time SMS grey traffic detection. ICSCA 2017: 244-249 - [c73]Ramtin Aryan, Anis Yazidi, Paal Einar Engelstad, Øivind Kure:
A General Formalism for Defining and Detecting OpenFlow Rule Anomalies. LCN 2017: 426-434 - [c72]Kyrre Wahl Kongsgård, Nils Agne Nordbotten, Federico Mancini, Paal E. Engelstad:
Data loss prevention for cross-domain instant messaging. SSCI 2017: 1-8 - 2016
- [c71]Ashish Rauniyar, Paal Engelstad, Boning Feng, Do Van Thanh:
Crowdsourcing-Based Disaster Management Using Fog Computing in Internet of Things Paradigm. CIC 2016: 490-494 - [c70]Anis Yazidi, Hugo Hammer, Aleksander Bai, Paal E. Engelstad:
On the feasibility of machine learning as a tool for automatic security classification: A position paper. ICNC 2016: 1-6 - [c69]Kyrre Wahl Kongsgård, Nils Agne Nordbotten, Federico Mancini, Paal E. Engelstad:
Data Loss Prevention Based on Text Classification in Controlled Environments. ICISS 2016: 131-150 - [c68]Hugo Lewi Hammer, Anis Yazidi, Aleksander Bai, Paal Engelstad:
Improving Classification of Tweets Using Linguistic Information from a Large External Corpus. INISCOM 2016: 122-134 - [c67]Hai Ngoc Pham, Yan Zhang, Tor Skeie, Paal E. Engelstad, Frank Eliassen:
Joint energy-efficient cooperative spectrum sensing and power allocation in Cognitive Machine-to-Machine Communications. IWCMC 2016: 1074-1079 - [c66]Do van Thuan, Paal E. Engelstad, Boning Feng, Do Van Thanh:
Strengthening Mobile Network Security Using Machine Learning. MobiWIS 2016: 173-183 - [c65]Hugo Lewi Hammer, Anis Yazidi, Aleksander Bai, Paal E. Engelstad:
Improving classification of tweets using word-word co-occurrence information from a large external corpus. SAC 2016: 1174-1177 - 2015
- [c64]Hugo Hammer, Anis Yazidi, Aleksander Bai, Paal E. Engelstad:
Building Domain Specific Sentiment Lexicons Combining Information from Many Sentiment Lexicons and a Domain Specific Corpus. CIIA 2015: 205-216 - [c63]Alfred Bratterud, Alf-Andre Walla, Hårek Haugerud, Paal E. Engelstad, Kyrre M. Begnum:
IncludeOS: A Minimal, Resource Efficient Unikernel for Cloud Services. CloudCom 2015: 250-257 - [c62]Paal E. Engelstad, Hugo Hammer, Anis Yazidi, Aleksander Bai:
Advanced Classification Lists (Dirty Word Lists) for Automatic Security Classification. CyberC 2015: 44-53 - [c61]Paal E. Engelstad, Hugo Hammer, Anis Yazidi, Aleksander Bai:
Analysis of Time-Dependencies in Automatic Security Classification. CyberC 2015: 54-61 - [c60]Paal E. Engelstad:
On the Usability of Clustering for Topic-Oriented Multi-level Security Models. EMS 2015: 14-20 - [c59]Anis Yazidi, Hugo Lewi Hammer, Aleksander Bai, Paal Engelstad:
On Enhancing the Label Propagation Algorithm for Sentiment Analysis Using Active Learning with an Artificial Oracle. ICAISC 2015: 799-810 - [c58]Anis Yazidi, Aleksander Bai, Hugo Hammer, Paal Engelstad:
A Simple and Efficient Algorithm for Lexicon Generation Inspired by Structural Balance Theory. IEA/AIE 2015: 336-347 - [c57]Hugo Hammer, Kyrre Wahl Kongsgård, Aleksander Bai, Anis Yazidi, Nils Agne Nordbotten, Paal E. Engelstad:
Automatic security classification by machine learning for cross-domain information exchange. MILCOM 2015: 1590-1595 - [c56]Paal E. Engelstad:
Security challenges with cross-domain information exchange: Integrity and guessing attacks. MILCOM 2015: 1596-1605 - [c55]Paal E. Engelstad, Hugo Hammer, Kyrre Wahl Kongsgård, Anis Yazidi, Nils Agne Nordbotten, Aleksander Bai:
Automatic Security Classification with Lasso. WISA 2015: 399-410 - 2014
- [c54]Aleksander Bai, Hugo Hammer, Anis Yazidi, Paal Engelstad:
Constructing Sentiment Lexicons in Norwegian from a Large Text Corpus. CSE 2014: 231-237 - [c53]Hugo Hammer, Aleksander Bai, Anis Yazidi, Paal Engelstad:
Building sentiment Lexicons applying graph theory on information from three Norwegian thesauruses. NIK 2014 - 2013
- [c52]Pål Grønsund, Paal E. Engelstad, Przemyslaw Pawelczak, Ole Grøndalen, Per H. Lehne, Danijela Cabric:
Spectrum sensing aided long-term spectrum management in cognitive radio networks. LCN 2013: 248-251 - 2012
- [j6]Kristian Evensen, Dominik Kaspar, Carsten Griwodz, Pål Halvorsen, Audun Fosselie Hansen, Paal Engelstad:
Using bandwidth aggregation to improve the performance of quality-adaptive streaming. Signal Process. Image Commun. 27(4): 312-328 (2012) - [c51]S. M. Saif Shams, Paal E. Engelstad, Amund Kvalbein:
On Randomness in ISP-friendly P2P Applications. AINA 2012: 431-437 - [c50]Pål Grønsund, Richard MacKenzie, Per Hjalmar Lehne, Keith Briggs, Ole Grøndalen, Paal E. Engelstad, Terje Tjelta:
Towards spectrum micro-trading. Future Network & Mobile Summit 2012: 1-10 - [c49]S. M. Saif Shams, Paal E. Engelstad, Amund Kvalbein:
PreeN: Improving Steady-State Performance of ISP-Friendly P2P Applications. ICDCN 2012: 458-472 - [c48]Joakim Flathagen, Erlend Larsen, Paal E. Engelstad, Øivind Kure:
O-CTP: Hybrid opportunistic collection tree protocol for Wireless Sensor Networks. LCN Workshops 2012: 943-951 - 2011
- [c47]Joakim Flathagen, Ovidiu Valentin Drugan, Paal E. Engelstad, Øivind Kure:
Increasing the Lifetime of Roadside Sensor Networks Using Edge-Betweenness Clustering. ICC 2011: 1-6 - [c46]Joakim Flathagen, Øivind Kure, Paal E. Engelstad:
Constrained-based Multiple Sink Placement for Wireless Sensor Networks. MASS 2011: 783-788 - [c45]Kristian Evensen, Dominik Kaspar, Carsten Griwodz, Pål Halvorsen, Audun Fosselie Hansen, Paal Engelstad:
Improving the performance of quality-adaptive video streaming over multiple heterogeneous access networks. MMSys 2011: 57-68 - 2010
- [c44]Dominik Kaspar, Kristian Evensen, Paal Engelstad, Audun Fosselie Hansen, Pål Halvorsen, Carsten Griwodz:
Enhancing Video-on-Demand Playout over Multiple Heterogeneous Access Networks. CCNC 2010: 1-5 - [c43]Hai Ngoc Pham, Pål Grønsund, Paal E. Engelstad, Ole Grøndalen:
A Dynamic Spectrum Access Scheme for Unlicensed Systems Coexisting with Primary OFDMA Systems. CCNC 2010: 1-5 - [c42]Geir Egeland, Paal E. Engelstad:
A Model for the Loss of Hello-Messages in a Wireless Mesh Network. ICC 2010: 1-6 - [c41]Dominik Kaspar, Kristian Evensen, Paal Engelstad, Audun Fosselie Hansen:
Using HTTP Pipelining to Improve Progressive Download over Multiple Heterogeneous Interfaces. ICC 2010: 1-5 - [c40]Geir Egeland, Paal E. Engelstad:
Modelling the behavior of a beacon-based link sensing mechanism with variable sensing range. IPCCC 2010: 281-288 - [c39]Geir Egeland, Paal E. Engelstad:
The reliability performance of wireless multi-hop networks with apparent link-failures. LCN 2010: 72-79 - [c38]Hai Ngoc Pham, Yan Zhang, Paal E. Engelstad, Tor Skeie, Frank Eliassen:
Energy Minimization Approach for Optimal Cooperative Spectrum Sensing in Sensor-aided Cognitive Radio Networks. WICON 2010: 1-9
2000 – 2009
- 2009
- [j5]Quan Le Trung, Paal E. Engelstad, Vinh Pham, Tor Skeie, Amirhosein Taherkordi, Frank Eliassen:
Providing internet connectivity and mobility management for MANETs. Int. J. Web Inf. Syst. 5(2): 239-263 (2009) - [j4]Geir Egeland, Paal Engelstad:
The Availability and Reliability of Wireless Multi-Hop Networks with Stochastic Link Failures. IEEE J. Sel. Areas Commun. 27(7): 1132-1146 (2009) - [j3]Vinh Pham, Erlend Larsen, Øivind Kure, Paal Engelstad:
Routing of internal MANET traffic over external networks. Mob. Inf. Syst. 5(3): 291-311 (2009) - [c37]Quan Le Trung, Amirhosein Taherkordi, Frank Eliassen, Hai Ngoc Pham, Tor Skeie, Paal E. Engelstad:
DCM-Arch: An Architecture for Data, Control, and Management in Wireless Sensor Networks. AINA 2009: 898-905 - [c36]Quan Le Trung, Amirhosein Taherkordi, Tor Skeie, Hai Ngoc Pham, Paal E. Engelstad:
Information Storage, Reduction and Dissemination in Sensor Networks: A Survey. CCNC 2009: 1-6 - [c35]Dominik Kaspar, Kristian Evensen, Audun Fosselie Hansen, Paal Engelstad, Pål Halvorsen, Carsten Griwodz:
An analysis of the heterogeneity and IP packet reordering over multiple wireless networks. ISCC 2009: 637-642 - [c34]Geir Egeland, Paal E. Engelstad:
Energy penalties for non-shortest paths in wireless sensor networks with link failures. IWCMC 2009: 279-285 - [c33]Hai Ngoc Pham, Yan Zhang, Paal E. Engelstad, Tor Skeie, Frank Eliassen:
Optimal cooperative spectrum sensing in cognitive sensor networks. IWCMC 2009: 1073-1079 - [c32]Erlend Larsen, Lars Landmark, Vinh Pham, Paal E. Engelstad, Øivind Kure:
Preemption mechanisms for push-to-talk in ad hoc networks. LCN 2009: 428-435 - [c31]Kristian Evensen, Dominik Kaspar, Paal Engelstad, Audun Fosselie Hansen, Carsten Griwodz, Pål Halvorsen:
A network-layer proxy for bandwidth aggregation and reduction of IP packet reordering. LCN 2009: 585-592 - [c30]Vinh Pham, Erlend Larsen, Paal E. Engelstad, Øivind Kure:
Performance analysis of gateway load balancing in ad hoc networks with random topologies. MOBIWAC 2009: 66-74 - [c29]Pål Grønsund, Hai Ngoc Pham, Paal E. Engelstad:
Towards dynamic spectrum access in primary OFDMA systems. PIMRC 2009: 848-852 - [c28]Geir Egeland, Paal E. Engelstad:
The economy of redundancy in wireless multi-hop networks. WCNC 2009: 3023-3028 - [c27]Erlend Larsen, Lars Landmark, Vinh Pham, Øivind Kure, Paal E. Engelstad:
Routing with transmission buffer zones in MANETs. WOWMOM 2009: 1-10 - 2008
- [c26]Audun Fosselie Hansen, Geir Egeland, Paal Engelstad:
Could Proactive Link-State Routed Wireless Networks Benefit from Local Fast Reroute? CNSR 2008: 453-462 - [c25]Erlend Larsen, Vinh Pham, Paal Engelstad, Øivind Kure:
Gateways and Capacity in Ad Hoc Networks. ICSNC 2008: 390-399 - [c24]Geir Egeland, Paal E. Engelstad:
The reliability and availability of wireless backhaul mesh networks. ISWCS 2008: 178-183 - [c23]Quan Le Trung, Paal E. Engelstad, Tor Skeie, Amirhosein Taherkordi:
Load-balance of intra/inter-MANET traffic over multiple internet gateways. MoMM 2008: 50-57 - [c22]Vinh Pham, Erlend Larsen, Øivind Kure, Paal E. Engelstad:
Cost metric algorithm for transit routing in MANETs with internet connectivity. MoMM 2008: 58-66 - [c21]Do Van Thanh, Paal E. Engelstad, Tore E. Jønvik, Do van Thuan, Ivar Jørstad:
Towards a Uniform IMS Client on Heterogeneous Devices. WiMob 2008: 196-201