Sensor Communication Network Using Swarm Intelligence

نویسندگان

  • Rajani Muraleedharan
  • Lisa Ann Osadciw
چکیده

Energy consumption is currently a key issue in research for future sensor networks. This paper presents a novel approach to sensor network routing based on energy consumption. The unique routing algorithm uses swarm intelligence, which is computationally efficient.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multi-layer Clustering Topology Design in Densely Deployed Wireless Sensor Network using Evolutionary Algorithms

Due to the resource constraint and dynamic parameters, reducing energy consumption became the most important issues of wireless sensor networks topology design. All proposed hierarchy methods cluster a WSN in different cluster layers in one step of evolutionary algorithm usage with complicated parameters which may lead to reducing efficiency and performance. In fact, in WSNs topology, increasin...

متن کامل

Decision Making In a Building Access System Using Swarm Intelligence & POSETS

The need for a new decision making approach for selecting communication routes in a biometric sensor network supporting a building access application[1] inspired this research. This paper uses swarm intelligence[2] to choose the optimal route in a distributed, time-varying, wireless building sensor network and partially ordered sets called POSets[ 3] to properly weight the performance parameter...

متن کامل

Enhancing Network Lifetime of a Wireless Sensor Network Using Swarm Intelligence

A Wireless Sensor Network is a resource constrained, cooperative, self-organized, distributed network consisting of large no. of small Sensor Nodes generally deployed in unattended and harsh environments. Each Sensor Node connected to the Network consists of sensing unit, communication unit, memory unit, and processing unit operating on limited power supply. Performance of a Sensor Node is high...

متن کامل

Wireless sensor network design through genetic algorithm

In this paper, we study WSN design, as a multi-objective optimization problem using GA technique. We study the effects of GA parameters including population size, selection and crossover method and mutation probability on the design. Choosing suitable parameters is a trade-off between different network criteria and characteristics. Type of deployment, effect of network size, radio communication...

متن کامل

Swarm Intelligent Compressive Routing in Wireless Sensor Networks

This paper proposes a novel algorithm to improve the lifetime of a wireless sensor network. This algorithm employs Swarm Intelligence algorithms in conjunction with compressive sensing theory to build up the routing trees and to decrease the communication rate respectively. The main contribution of this paper is to extend Swarm Intelligence algorithms to build a routing tree in such a way that ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002