Abstract

Wireless sensor network includes hundreds or thousands of nodes with limited energy. Since the lifetime of each sensor is as the battery life of the sensor, the energy issue is discussed as a fundamental challenge. In this article, parallel ant algorithm and exclusive territoriality algorithm have been used by providing the ability of nodes self-determination, in order to improve the parameters of energy consumption, extend the life and network coverage. For routing nodes also is used direct send method, sending by hierarchical clustering, along with carrier head cluster. This article is evaluated by focusing on network stability, based on two main factors: reduce energy consumption and extend the network life and increase network coverage. The simulated output in this paper represents an increase of energy consumption balance and network lifetime approach (the first death time) and network imperative life (the last death time), which represents network high-performance than latch, direct transmission and other methods. Therefore, also in this article the purpose is to provide a better way than previous methods based on developed ant algorithm to reduce energy consumption against hardware limitations.

Highlights

  • Nowadays, wireless sensor networks are attractive for academic and industrial circles as a new and efficient technology in information collecting and mobile communication, as that is the one area that has seen the most development and this rapid development reveals some major problems that it has which include the hardware limitations and energy consumption

  • The idea Experimental evaluation proved that when the size of network area is larger than the base area, hierarchical clustering is the best mode for routing head clusters, but with increasing the number of nodes or the size of the network, this performance is better for single step transmission, for example, at a time when network is 200*200 and the number of nodes increased from 100 to 200 or more, the results of latch will be better it is necessary to increase network capabilities, appropriate control parameters to be created in accordance with changing network conditions and always maintain network functionality

  • In the distance between the base distance near the 100 meters, two sections single step clustering algorithms (Figure 3) has the best performance. This average distance is increased gradually and when the distance is going to be more than 130 meters, two steps hierarchical transmission is presented as the best performance and transmission with single step clustering is presented as the second useful transmission method in energy consumption and direct transmission is the worst way at such distances and this rating is always maintained

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Summary

Introduction

Wireless sensor networks are attractive for academic and industrial circles as a new and efficient technology in information collecting and mobile communication, as that is the one area that has seen the most development and this rapid development reveals some major problems that it has which include the hardware limitations and energy consumption. These two issues caused a lot of researches in the field of hardware, i.e. reducing the size and increasing energy efficiency and in the field of software, i.e. energy efficiency Sensor node includes a processing unit, transmission unit, the receiving unit and the unit positioning unit. An approach that would take into account all aspects and give to network flexibility is often of interest

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