Are lessons learnt in mobile ad hoc networks useful for wireless sensor networks?

Lionel Ni

doi:10.1007/11599555_1

Are lessons learnt in mobile ad hoc networks useful for wireless sensor networks?

Lionel Ni^*

^*Corresponding author for this work

Department of Computer Science and Engineering

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

Abstract

Many researchers consider wireless sensor networks (WSNs) as special case of Mobile Ad Hoc Networks (MANETs). Although WSNs do share some similarities with MANETs, WSNs are very different from MANETs and have many unique research issues. I argue that lessons learnt from research in MANETs are of little use when studying WSNs. This talk will address the major differences between MANETs and WSNs. The focus of this talk will be on new challenging research issues in WSNs, such as ID management, adaptive route - an exciting research area.

Original language	English
Title of host publication	Embedded Software and Systems
Subtitle of host publication	Second International Conference, ICESS 2005, Proceedings
Pages	1
Number of pages	1
DOIs	https://doi.org/10.1007/11599555_1
Publication status	Published - 2005
Event	2nd International Conference on Embedded Software and Systems, ICESS 2005 - Xi'an, China Duration: 16 Dec 2005 → 18 Dec 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3820 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Embedded Software and Systems, ICESS 2005
Country/Territory	China
City	Xi'an
Period	16/12/05 → 18/12/05

Access to Document

10.1007/11599555_1

Cite this

Ni, L. (2005). Are lessons learnt in mobile ad hoc networks useful for wireless sensor networks? In Embedded Software and Systems: Second International Conference, ICESS 2005, Proceedings (pp. 1). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3820 LNCS). https://doi.org/10.1007/11599555_1

@inproceedings{c95ef811e50c421693cbafb12842e0c8,

title = "Are lessons learnt in mobile ad hoc networks useful for wireless sensor networks?",

abstract = "Many researchers consider wireless sensor networks (WSNs) as special case of Mobile Ad Hoc Networks (MANETs). Although WSNs do share some similarities with MANETs, WSNs are very different from MANETs and have many unique research issues. I argue that lessons learnt from research in MANETs are of little use when studying WSNs. This talk will address the major differences between MANETs and WSNs. The focus of this talk will be on new challenging research issues in WSNs, such as ID management, adaptive route - an exciting research area.",

author = "Lionel Ni",

year = "2005",

doi = "10.1007/11599555\_1",

language = "English",

isbn = "3540308814",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "1",

booktitle = "Embedded Software and Systems",

note = "2nd International Conference on Embedded Software and Systems, ICESS 2005 ; Conference date: 16-12-2005 Through 18-12-2005",

}

Ni, L 2005, Are lessons learnt in mobile ad hoc networks useful for wireless sensor networks? in Embedded Software and Systems: Second International Conference, ICESS 2005, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3820 LNCS, pp. 1, 2nd International Conference on Embedded Software and Systems, ICESS 2005, Xi'an, China, 16/12/05. https://doi.org/10.1007/11599555_1

Are lessons learnt in mobile ad hoc networks useful for wireless sensor networks? / Ni, Lionel.
Embedded Software and Systems: Second International Conference, ICESS 2005, Proceedings. 2005. p. 1 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3820 LNCS).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review