Simulation based Evaluation of Attribute Aware Scheduling in Heterogeneous Wireless Sensor Networks
Clicks: 28
ID: 113794
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
8.1
/100
28 views
13 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #148 of 148 articles by views in adbu journal of engineering technology
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 148 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
In many applications of sensor networks, it is required to sense multiple physical parameters of the same region. So multiple different types of sensors are deployed. Such networks are known as heterogeneous networks. In tree based heterogeneous networks, complete aggregation is not possible at every node. The reason is that parent and child node may be of different types. The term Attribute is used to refer to type of packet. When objective is to maximize aggregation, parent selection should be done such that packet sent by given node should be aggregated as soon as possible in its path towards the sink. This approach would result in reduction in schedule length of the tree. Such an algorithm is known as Attribute Aware Scheduling Algorithm. In this work, one such algorithm is evaluated through simulations. It is found that Attribute Aware Scheduling results in better aggregation, smaller schedule length, and reduction in energy consumption. The reduction in schedule length means smaller latency and reduction in energy consumption means extended network lifetime.
| Reference Key |
vasavada2020adbusimulation
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Tejas Mukesh Vasavada;Sanjay Srivastava; |
| Journal | adbu journal of engineering technology |
| Year | 2020 |
| DOI |
725
|
| URL | |
| Keywords |
|
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.