Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Wireless Sensor Network Optimization: Multi-Objective Paradigm

View through CrossRef
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.
Title: Wireless Sensor Network Optimization: Multi-Objective Paradigm
Description:
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.

Related Results

Dynamic stochastic modeling for inertial sensors
Dynamic stochastic modeling for inertial sensors
Es ampliamente conocido que los modelos de error para sensores inerciales tienen dos componentes: El primero es un componente determinista que normalmente es calibrado por el fabri...
Wireless Sensor Network Optimization: Multi-Objective Paradigm
Wireless Sensor Network Optimization: Multi-Objective Paradigm
Optimization problems relating to wireless sensor network planning, design, deployment and operation often give rise to multi-objective optimization formulations where multiple des...
Design of multi-energy-space-based energy-efficient algorithm in novel software-defined wireless sensor networks
Design of multi-energy-space-based energy-efficient algorithm in novel software-defined wireless sensor networks
Energy efficiency has always been a hot issue in wireless sensor networks. A lot of energy-efficient algorithms have been proposed to reduce energy consumption in traditional wirel...
Implementation of Faulty Sensor Detection Mechanism using Data Correlation of Multivariate Sensor Readings in Smart Agriculture
Implementation of Faulty Sensor Detection Mechanism using Data Correlation of Multivariate Sensor Readings in Smart Agriculture
Through sensor networks, agriculture can be connected to the IoT, which allows us to create connections among agronomists, farmers, and crops regardless of their geographical diffe...
Routing Security in Wireless Sensor Networks
Routing Security in Wireless Sensor Networks
Since routing is a fundamental operation in all types of networks, ensuring routing security is a necessary requirement to guarantee the success of routing operation. Securing rout...
SENSOR LOCATION OPTIMIZATION FOR EFFICIENT STRUCTURAL HEALTH MONITORING THROUGH INTELLIGENT DESIGN
SENSOR LOCATION OPTIMIZATION FOR EFFICIENT STRUCTURAL HEALTH MONITORING THROUGH INTELLIGENT DESIGN
Vibration based Structural health monitoring (SHM) is an emerging field in Civil engineering, which evaluates the structure’s integrity and performance. It facilitates the early id...
[Retracted] Simulation Test of Wireless Underground Sensor Network in Stadiums
[Retracted] Simulation Test of Wireless Underground Sensor Network in Stadiums
The underground sensor network is a kind of sensor network with sensor nodes buried in the soil. It is used in football fields, golf courses, and other stadiums and can effectively...
Mesh Mac Enabling Mesh Networking Over Ieee 802.15.4 Mac Layer
Mesh Mac Enabling Mesh Networking Over Ieee 802.15.4 Mac Layer
"Wireless sensor network is a network of sensor nodes that function in a cooperative manner to monitor the changes in the physical environment. Wireless sensor networks are used in...

Back to Top