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An Intelligent Clustered Cooperative Transmission Protocol for Wireless Sensor Networks

  • K. R. Jnana Swaroop
  • G. Padmaja Devi
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 248)

Abstract

In wireless sensor networks, nodes have limited energy resources and, consequently, energy conservation is critical for extending the lifetime of wireless networks. Cooperation-based routing algorithm is implemented by finding a shortest path route first and then improving the route using cooperative communication. In cooperative networks, transmitting and receiving nodes recruit neighbouring nodes to assist in communication. The end-to-end robustness of the protocol to data-packet loss, along with the trade-off between energy consumption and error rates, is analysed. The simulation results are used to compare the energy savings and the end-to-end robustness of the protocol with two non-cooperative schemes. The comparison results show that when the nodes are placed on a grid and as compared to the disjoint-paths scheme, cooperative protocol reduces the probability of failure to deliver a packet to destination by a factor of up to 100. Similarly, compared to the one-path scheme, probability of failure to deliver a packet to destination is up to 10,000. The energy saving of cooperative protocol over disjoint-paths scheme is up to 85 % and over the one-path scheme is up to 95 % for large values of intercluster distances. The reduction in error rate and the energy savings translate into increased lifetime of cooperative sensor networks.

Keywords

Wireless Sensor Network Transmission Power Cluster Head Failure Probability Sink Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

ACRONYMS AND ABBREVIATIONS

AODV

Ad-hoc On Demand Distance Vector Routing

ARQ

Automatic repeat request

BER

Bit error rate

CAN

Cooperation Along Non-cooperative path

CSI

Channel state information

DSDV

Destination-Sequenced Distance-Vector Routing

DSR

Dynamic Source Routing

FEC

Forward error correction

LAN

Local Area Network

MIMO

Multiple input-multiple output

MAC

Medium Access Control

MANET

Mobile Ad-hoc Network

MATLAB

MATrix LABoratory

MISO

Multiple Input Single Output

ML

Maximum likelihood

MRC

Maximal ratio combining

NAV

Network Allocation Vector

PHY

Physical Layer

QoS

Quality of Service

RERR

Route error

RERP

Route replay

RREQ

Route request

SNR

Signal-to-noise ratio

VAA

Virtual antenna arrays

WSN

Wireless Sensor Network

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Copyright information

© Springer India 2014

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringMalnad college of EngineeringHassanIndia

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