TY - JOUR
T1 - Wireless distributed computing
T2 - A survey of research challenges
AU - Datla, Dinesh
AU - Chen, Xuetao
AU - Tsou, Thomas
AU - Raghunandan, Sahana
AU - Hasan, S. M.Shajedul
AU - Reed, Jeffrey H.
AU - Dietrich, Carl B.
AU - Bose, Tamal
AU - Fette, Bruce
AU - Kim, Jeong Ho
N1 - Funding Information:
The authors would like to thank the Office of Naval Research for its sponsorship (grant N30001407010536) of our research; DARPA (NSWCDD contract number N00178-09-D-3017); the Korean National Research Foundation (NRF) for its sponsorship of Dr. Jeong-Ho Kim (this research was supported by the Basic Science Research Program through the NRF of Korea funded by the Ministry of Education, Science and Technology, grant number : 2010-0008916); Dr. Maleq Khan (Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, Virginia Tech) for his valuable comments; and Cyndy Graham (Wireless@Virginia Tech) for proofreading this article.
PY - 2012/1
Y1 - 2012/1
N2 - Recent advancements in radio technology provide great flexibility and enhanced capabilities in executing wireless services. One of these capabilities that can provide significant advantages over traditional approaches is the concept of collaborative computing in wireless networks. With collaborative radio nodes, multiple independent radio nodes operate together to form a wireless distributed computing (WDC) network with significantly increased performance, operating efficiency, and abilities over a single node. WDC exploits wireless connectivity to share processing- intensive tasks among multiple devices. The goals are to reduce per-node and network resource requirements, and enable complex applications not otherwise possible, e.g., image processing in a network of small form factor radio nodes. As discussed in this article, WDC research aims to quantify the benefits of distributed processing over local processing, extend traditional distributed computing (DC) approaches to allow operation in dynamic radio environments, and meet design and implementation challenges unique to WDC with the help of recently available enabling technologies, such as software radios and cognitive radios.
AB - Recent advancements in radio technology provide great flexibility and enhanced capabilities in executing wireless services. One of these capabilities that can provide significant advantages over traditional approaches is the concept of collaborative computing in wireless networks. With collaborative radio nodes, multiple independent radio nodes operate together to form a wireless distributed computing (WDC) network with significantly increased performance, operating efficiency, and abilities over a single node. WDC exploits wireless connectivity to share processing- intensive tasks among multiple devices. The goals are to reduce per-node and network resource requirements, and enable complex applications not otherwise possible, e.g., image processing in a network of small form factor radio nodes. As discussed in this article, WDC research aims to quantify the benefits of distributed processing over local processing, extend traditional distributed computing (DC) approaches to allow operation in dynamic radio environments, and meet design and implementation challenges unique to WDC with the help of recently available enabling technologies, such as software radios and cognitive radios.
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U2 - 10.1109/MCOM.2012.6122545
DO - 10.1109/MCOM.2012.6122545
M3 - Article
AN - SCOPUS:84862951725
SN - 0163-6804
VL - 50
SP - 144
EP - 152
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
IS - 1
M1 - 6122545
ER -