TY - JOUR
T1 - Wireless sensor network optimization
T2 - Multi-objective paradigm
AU - Iqbal, Muhammad
AU - Naeem, Muhammad
AU - Anpalagan, Alagan
AU - Ahmed, Ashfaq
AU - Azam, Muhammad
N1 - Publisher Copyright:
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
PY - 2015/7/20
Y1 - 2015/7/20
N2 - Optimization problems relating to wireless sensor network planning, design, deployment and operation often give rise to multi-objective optimization formulations where multiple desirable objectives compete with each other and the decision maker has to select one of the tradeoff solutions. These multiple objectives may or may not conflict with each other. Keeping in view the nature of the application, the sensing scenario and input/output of the problem, the type of optimization problem changes. To address different nature of optimization problems relating to wireless sensor network design, deployment, operation, planning and placement, there exist a plethora of optimization solution types. We review and analyze different desirable objectives to show whether they conflict with each other, support each other or they are design dependent. We also present a generic multi-objective optimization problem relating to wireless sensor network which consists of input variables, required output, objectives and constraints. A list of constraints is also presented to give an overview of different constraints which are considered while formulating the optimization problems in wireless sensor networks. Keeping in view the multi facet coverage of this article relating to multi-objective optimization, this will open up new avenues of research in the area of multi-objective optimization relating to wireless sensor networks.
AB - Optimization problems relating to wireless sensor network planning, design, deployment and operation often give rise to multi-objective optimization formulations where multiple desirable objectives compete with each other and the decision maker has to select one of the tradeoff solutions. These multiple objectives may or may not conflict with each other. Keeping in view the nature of the application, the sensing scenario and input/output of the problem, the type of optimization problem changes. To address different nature of optimization problems relating to wireless sensor network design, deployment, operation, planning and placement, there exist a plethora of optimization solution types. We review and analyze different desirable objectives to show whether they conflict with each other, support each other or they are design dependent. We also present a generic multi-objective optimization problem relating to wireless sensor network which consists of input variables, required output, objectives and constraints. A list of constraints is also presented to give an overview of different constraints which are considered while formulating the optimization problems in wireless sensor networks. Keeping in view the multi facet coverage of this article relating to multi-objective optimization, this will open up new avenues of research in the area of multi-objective optimization relating to wireless sensor networks.
KW - Algorithms
KW - Conflicting objectives
KW - Multi-objective optimization
KW - Wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=84940209835&partnerID=8YFLogxK
U2 - 10.3390/s150717572
DO - 10.3390/s150717572
M3 - Review article
AN - SCOPUS:84940209835
SN - 1424-8220
VL - 15
SP - 17572
EP - 17620
JO - Sensors (Switzerland)
JF - Sensors (Switzerland)
IS - 7
ER -