Volume 5,
Number 1,
2009
Advances in Wireless Networks
- Arjan Durresi, Mieso Denko:
Advances in wireless networks.
1-3
- Mostafa Mjidi, Debasish Chakraborty, Naoki Nakamura, Norio Shiratori:
The impact of dynamic RTS Threshold adjustment for IEEE 802.11 MAC protocol.
5-20
- Tetsuya Shigeyasu, Daishi Inoue, Hiroshi Matsuno, Norihiko Morinaga:
A new MAC protocol for reducing effect of needless transmission deferment induced by missed RTS/CTS handshake.
21-32
- Saoucene Mahfoudh, Pascale Minet:
Maximization of energy efficiency in wireless ad hoc and sensor networks with SERENA.
33-52
- Rashid Bin Muhammad:
Range assignment problem on the Steiner tree based topology in ad hoc wireless networks.
53-64
- Abdalla M. Hanashi, Irfan Awan, Mike Woodward:
Performance evaluation with different mobility models for dynamic probabilistic flooding in MANETs.
65-80
- Dawn Rohm, Mukul Goyal, Hossein Hosseini, August Divjak, Yusuf Bashir:
A simulation based analysis of the impact of IEEE 802.15.4 MAC parameters on the performance under different traffic loads.
81-99
Volume 5,
Number 2,
2009
Advances in Mobile Communications and Computing
- Arjan Durresi, Mieso Denko:
Advances in mobile communications and computing.
101-103
- Vincenzo Conti, Carmelo Militello, Filippo Sorbello, Salvatore Vitabile:
A multimodal technique for an embedded fingerprint recognizer in mobile payment systems.
105-124
- Antonella Santangelo, Antonio Gentile, Giuseppe Vella, Nunzio Ingraffia, Marilia Liotta:
XPL the eXtensible presentation language.
125-139
- Satoru Izumi, Kazuhiro Yamanaka, Yoshikazu Tokairin, Hideyuki Takahashi, Takuo Suganuma, Norio Shiratori:
Ubiquitous supervisory system based on social contexts using ontology.
141-163
- Makoto Ikeda, Leonard Barolli, Giuseppe De Marco, Tao Yang, Arjan Durresi, Fatos Xhafa:
Tools for performance assessment of OLSR protocol.
165-176
- Vojislav B. Misic, Jelena V. Misic:
Improving sensing accuracy in cognitive PANs through modulation of sensing probability.
177-193
- Suman Kumar, Seung-Jong Park:
Probability model for data redundancy detection in sensor networks.
195-204
Copyright © Mon Nov 23 23:57:59 2009
by Michael Ley (ley@uni-trier.de)