Wireless Sensor Networks (WSNs) are defined as dynamic, self-deployed, highly constrained structured
network. It`s high computational environment with limited and controlled transmission range, processing,
as well as limited energy sources. The sever power constraints strongly affect the existence of active nodes
and hence the network lifetime. In order to prolong the network life time we have to overcome the scarcity
in energy resources and preserve the processing of the sensor nodes as long as possible. Power
management approaches efficiently reduce the sensor nodes energy consumption individually in each
sensor node and the adaptive efficient routing technique has greatly appeals a great attention in research.
The potential paradigms of soft-computing (SC) highly addressed their adaptability and compatibility to
overwhelm the complex challenges in WSNs. This paper is introducing and surveying some of the Soft
Computing proposed routing models for WSNs that optimally prolongs its life time.
%0 Journal Article
%1 noauthororeditor
%A Sharawi, Marwa
%A Saroit, Imane Aly
%A El-Mahdy, Hesham
%A Emary, Eid
%D 2013
%J International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)
%K Computing Network Routing Sensor Soft Wireless
%N 4
%P 16
%R 10.5121/ijscai.2013.2403
%T ROUTING WIRELESS SENSOR NETWORKS BASED ON SOFT COMPUTING PARADIGMS: SURVEY
%U http://airccse.org/journal/ijscai/papers/2413ijscai03.pdf
%V 2
%X Wireless Sensor Networks (WSNs) are defined as dynamic, self-deployed, highly constrained structured
network. It`s high computational environment with limited and controlled transmission range, processing,
as well as limited energy sources. The sever power constraints strongly affect the existence of active nodes
and hence the network lifetime. In order to prolong the network life time we have to overcome the scarcity
in energy resources and preserve the processing of the sensor nodes as long as possible. Power
management approaches efficiently reduce the sensor nodes energy consumption individually in each
sensor node and the adaptive efficient routing technique has greatly appeals a great attention in research.
The potential paradigms of soft-computing (SC) highly addressed their adaptability and compatibility to
overwhelm the complex challenges in WSNs. This paper is introducing and surveying some of the Soft
Computing proposed routing models for WSNs that optimally prolongs its life time.
@article{noauthororeditor,
abstract = {Wireless Sensor Networks (WSNs) are defined as dynamic, self-deployed, highly constrained structured
network. It`s high computational environment with limited and controlled transmission range, processing,
as well as limited energy sources. The sever power constraints strongly affect the existence of active nodes
and hence the network lifetime. In order to prolong the network life time we have to overcome the scarcity
in energy resources and preserve the processing of the sensor nodes as long as possible. Power
management approaches efficiently reduce the sensor nodes energy consumption individually in each
sensor node and the adaptive efficient routing technique has greatly appeals a great attention in research.
The potential paradigms of soft-computing (SC) highly addressed their adaptability and compatibility to
overwhelm the complex challenges in WSNs. This paper is introducing and surveying some of the Soft
Computing proposed routing models for WSNs that optimally prolongs its life time.
},
added-at = {2018-05-04T02:07:03.000+0200},
author = {Sharawi, Marwa and Saroit, Imane Aly and El-Mahdy, Hesham and Emary, Eid},
biburl = {https://www.bibsonomy.org/bibtex/25d28d24cdf666414174fb077e11a5e72/leninsha},
doi = {10.5121/ijscai.2013.2403},
interhash = {9afcc58967a58a168ff7496eacb1f6a7},
intrahash = {5d28d24cdf666414174fb077e11a5e72},
issn = {2319 - 1015},
journal = {International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)},
keywords = {Computing Network Routing Sensor Soft Wireless},
language = {English},
month = {August},
number = 4,
pages = 16,
timestamp = {2018-05-04T02:07:03.000+0200},
title = {ROUTING WIRELESS SENSOR NETWORKS BASED ON SOFT COMPUTING PARADIGMS: SURVEY},
url = {http://airccse.org/journal/ijscai/papers/2413ijscai03.pdf},
volume = 2,
year = 2013
}