Non Uniform Grid Based Cost Minimization and Routing in Wireless Sensor Networks

Author(s):  
Tata Jagannadha Swamy ◽  
Jayant Vaibhav Srivastava ◽  
Garimella Ramamurthy

Recent technological advances have facilitated the widespread use of wireless sensor networks in many applications. In real life situations we have to cover or monitor a lot of points/places on plane. Sensor’s range is proportional to their cost, as high cost sensors have higher ranges. In this paper the authors developed a new algorithm for sensor placement for target location with cost minimization and coverage to non-uniform plane. Sensor placement for target location implies that they are given different type of sensors with different cost and range for given points on plane, which are to be covered with minimum cost. Then the authors discuss how information can be passed from one node to another.

2020 ◽  
pp. 1286-1301
Author(s):  
Tata Jagannadha Swamy ◽  
Garimella Rama Murthy

Wireless Sensor Nodes (WSNs) are small in size and have limited energy resources. Recent technological advances have facilitated widespread use of wireless sensor networks in many real world applications. In real life situations WSN has to cover an area or monitor a number of nodes on a plane. Sensor node's coverage range is proportional to their cost, as high cost sensor nodes have higher coverage ranges. The main goal of this paper is to minimize the node placement cost with the help of uniform and non-uniform 2D grid planes. Authors propose a new algorithm for data transformation between strongly connected sensor nodes, based on graph theory.


Author(s):  
Tata Jagannadha Swamy ◽  
Garimella Rama Murthy

Wireless Sensor Nodes (WSNs) are small in size and have limited energy resources. Recent technological advances have facilitated widespread use of wireless sensor networks in many real world applications. In real life situations WSN has to cover an area or monitor a number of nodes on a plane. Sensor node's coverage range is proportional to their cost, as high cost sensor nodes have higher coverage ranges. The main goal of this paper is to minimize the node placement cost with the help of uniform and non-uniform 2D grid planes. Authors propose a new algorithm for data transformation between strongly connected sensor nodes, based on graph theory.


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