Energy Efficient Communication for Wireless Sensor Networks

نویسندگان

  • Rajeeb Sankar Bal
  • Amiya Kumar Rath
چکیده

MEMS (Micro Electro Mechanical Systems) technology is enabling the development of low-cost, autonomous wireless sensor nodes with energy consumption of various components. In wireless sensor network, the deployments of small sensor nodes are usually inaccessible to the user, and thus replacement of the energy source is not feasible as per battery powered. Hence, energy efficiency is a key design issue that improves the life span of the network. A homogeneous sensor network consists of identical sensor nodes, while a heterogeneous sensor network consists of two or more types of sensor nodes (organized into hierarchical clusters). We proposed several network layer protocols to improve the effective lifetime of a network with a limited energy supply. We classified sensor network as per clustering. The simulation results of energy consumption prove that the performance of the heterogeneous sensor networks and the homogeneous sensor networks.

برای دانلود 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

An Energy Efficient Clustering Method using Bat Algorithm and Mobile Sink in Wireless Sensor Networks

Wireless sensor networks (WSNs) consist of sensor nodes with limited energy. Energy efficiency is an important issue in WSNs as the sensor nodes are deployed in rugged and non-care areas and consume a lot of energy to send data to the central station or sink if they want to communicate directly with the sink. Recently, the IEEE 802.15.4 protocol is employed as a low-power, low-cost, and low rat...

متن کامل

Hybrid Bio-Inspired Clustering Algorithm for Energy Efficient Wireless Sensor Networks

In order to achieve the sensing, communication and processing tasks of Wireless Sensor Networks, an energy-efficient routing protocol is required to manage the dissipated energy of the network and to minimalize the traffic and the overhead during the data transmission stages. Clustering is the most common technique to balance energy consumption amongst all sensor nodes throughout the network. I...

متن کامل

A New Method for Clustering Wireless Sensor Networks to Improve the Energy Consumption

Clustering is an effective approach for managing nodes in Wireless Sensor Network (WSN). A new method of clustering mechanism with using Binary Gravitational Search Algorithm (BGSA) in WSN, is proposed in this paper to improve the energy consumption of the sensor nodes. Reducing the energy consumption of sensors in WSNs is the objective of this paper that is through selecting the sub optimum se...

متن کامل

Game Theory based Energy Efficient Hybrid MAC Protocol for Lifetime Enhancement of Wireless Sensor Network

Wireless Sensor Networks (WSNs) comprising of tiny, power-constrained nodes are getting very popular due to their potential uses in wide applications like monitoring of environmental conditions, various military and civilian applications. The critical issue in the node is energy consumption since it is operated using battery, therefore its lifetime should be maximized for effective utilization ...

متن کامل

MLCA: A Multi-Level Clustering Algorithm for Routing in Wireless Sensor Networks

Energy constraint is the biggest challenge in wireless sensor networks because the power supply of each sensor node is a battery that is not rechargeable or replaceable due to the applications of these networks. One of the successful methods for saving energy in these networks is clustering. It has caused that cluster-based routing algorithms are successful routing algorithm for these networks....

متن کامل

An Efficient Cluster Head Selection Algorithm for Wireless Sensor Networks Using Fuzzy Inference Systems

An efficient cluster head selection algorithm in wireless sensor networks is proposed in this paper. The implementation of the proposed algorithm can improve energy which allows the structured representation of a network topology. According to the residual energy, number of the neighbors, and the centrality of each node, the algorithm uses Fuzzy Inference Systems to select cluster head. The alg...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014