2011Unpublished venueRequires access

Generalize 3D model of energy consumption for deploying nodes in Sensor Network

Raju Dutta, Indrajit Bhattacharya

Open publisher page 1 citations

Abstract

Wireless Sensor Networks (WSN) provide network access for mobile users. Therefore, most traffic flows in WSNs are to and from the sensor node and base station of the networks without wired connection. Power consumption is one of the most important issue in the sensor network. Energy constraints have a significant impact on the design and operation of wireless sensor networks. This paper describes a mathematical model for the power consumption of mobile node in wireless sensor networks. A wireless sensor network having multiple BSs (data sink nodes)and mobile nodes are considered. Each source node must send all its locally generated data to the other nodes and vice -versa. To maximize mobile node's lifetime, it is essential to have optimum monitored region and radio range of each source node of WSNs. To find an optimal solution a mathematical model, which is proposed for optimal power consumption in terms of ratio of whole energy of sensor nodes to energy consumption speed of sensor nodes in any area should be constant. Through extensive simulation of the model we achieved the results of the model which is shown below and implies that this model has excellent performance and provides a near-optimal solution.

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What this paper is about

Wireless Sensor Networks (WSN) provide network access for mobile users. Therefore, most traffic flows in WSNs are to and from the sensor node and base station of the networks without wired connection. Power consumption is one of the most important issue in the sensor network. Energy constraints have a significant impact on the design and operation of wireless sensor networks. This paper describes a mathematical model for the power consumption of mobile node in wireless sensor networks. A wireless sensor network having multiple BSs (data sink nodes)and mobile nodes are considered. Each source node must send all its locally generated data to the other nodes and vice -versa. To maximize mobile node's lifetime, it is essential to have optimum monitored region and radio range of each source node of WSNs. To find an optimal solution a mathematical model, which is proposed for optimal power consumption in terms of ratio of whole energy of sensor nodes to energy consumption speed of sensor nodes in any area should be constant. Through extensive simulation of the model we achieved the results of the model which is shown below and implies that this model has excellent performance and provides a near-optimal solution.

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Available abstract

Wireless Sensor Networks (WSN) provide network access for mobile users. Therefore, most traffic flows in WSNs are to and from the sensor node and base station of the networks without wired connection. Power consumption is one of the most important issue in the sensor network. Energy constraints have a significant impact on the design and operation of wireless sensor networks. This paper describes a mathematical model for the power consumption of mobile node in wireless sensor networks. A wireless sensor network having multiple BSs (data sink nodes)and mobile nodes are considered. Each source node must send all its locally generated data to the other nodes and vice -versa. To maximize mobile node's lifetime, it is essential to have optimum monitored region and radio range of each source node of WSNs. To find an optimal solution a mathematical model, which is proposed for optimal power consumption in terms of ratio of whole energy of sensor nodes to energy consumption speed of sensor nodes in any area should be constant. Through extensive simulation of the model we achieved the results of the model which is shown below and implies that this model has excellent performance and provides a near-optimal solution.

Key concepts: Wireless sensor network, Key distribution in wireless sensor networks, Computer network, Computer science, Mobile wireless sensor network, Energy consumption, Sensor node, Base station

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