23rd International Conference on Distributed Computing Systems Workshops, 2003. Proceedings.
DOI: 10.1109/icdcsw.2003.1203636
|View full text |Cite
|
Sign up to set email alerts
|

An energy-aware QoS routing protocol for wireless sensor networks

Abstract: Recent advances in wireless sensor networks have led to many new routing protocols specifically designed for sensor networks. Almost all of these routing protocols considered energy efficiency as the ultimate objective in order to maximize the whole network lifetime. However, the introduction of video and imaging sensors has posed additional challenges. Transmission of video and imaging data requires both energy and QoS aware routing in order to ensure efficient usage of the sensors and effective access to the… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
192
0
1

Publication Types

Select...
7
2
1

Relationship

0
10

Authors

Journals

citations
Cited by 350 publications
(193 citation statements)
references
References 20 publications
(25 reference statements)
0
192
0
1
Order By: Relevance
“…In difference, DiffServ is a stateless form which uses coarse grained class-based apparatus for traffic management. Queuing scheduling algorithms have been proposed for DiffServ to further minimize packet droppings and bandwidth consumption [9]. Stoica et al [10] proposed a dynamic packet service (DPS) model to provide unicast IntServ-guaranteed service and Diffservlike scalability.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In difference, DiffServ is a stateless form which uses coarse grained class-based apparatus for traffic management. Queuing scheduling algorithms have been proposed for DiffServ to further minimize packet droppings and bandwidth consumption [9]. Stoica et al [10] proposed a dynamic packet service (DPS) model to provide unicast IntServ-guaranteed service and Diffservlike scalability.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Real-time traffic is generated by imaging sensors in this QoS energy aware routing protocol [19].This protocol finds the least cost and energy efficient path and the link cost is a function that captures the nodes energy reserve, transmission energy, error rate and some communication parameters. The queuing model allows service sharing for real time and non-real-time traffic.…”
Section: Energy-aware Qos Routing Protocolmentioning
confidence: 99%
“…This routing protocol is a multi-path approach which is trying to obtain fault tolerance and energy efficiency. In SAR choosing a rout depends on three parameters namely QoS on each path, energy resources and priority level of each packet data [23].…”
Section: Sequential Assignment Routing (Sar)mentioning
confidence: 99%