Minimizing the energy consumption in wireless sensor networks

Abstract EN

-Energy in Wireless Sensor networks (WSNs) represents an essential factor in designing, controlling and operating the sensor networks.

Minimizing the consumed energy in WSNs application is a crucial issue for the network effectiveness and efficiency in terms of lifetime, cost and operation.

Number of algorithms and protocols were proposed and implemented to decrease the energy consumption.

WSNs operate with battery powered sensors.

Sensors batteries have not easily rechargeable even though having restricted power.

Frequently the network failure occurs due to the sensors energy insufficiency.

MAC protocols in WSNs achieved low duty-cycle by employing periodic sleep and wakeup.

Predictive Wakeup MAC (PW-MAC) protocol was made use of the asynchronous duty cycling.

It reduces the consumption of the node energy by allowing the senders to predict the receiver′s wakeup times.

The WSN must be applied in an efficient manner to utilize the sensor nodes and their energy to ensure efficient network throughput.

Prediction of the WSN lifetime previously to its installation represents a significant concern.

To ensure energy efficiency the sensors duty cycles must be adjusted appropriately to meet the network traffic demands.

The energy consumed in each node due to its switching between the active and the idle states were also estimated.

The sensors are assumed to be randomly deployed.

This paper aims to improve the randomly deployed network lifetime by scheduling the effects of transmission, reception and sleep states on the sensor node energy consumption.

Results for these states with many performance metrics were also studied and discussed.