Enhanced energy conditioned mean square error algorithm for wireless sensor networks

Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 2)


Wireless Sensor Networks (WSNs) have found numerous applications in control and monitoring fields. Advancements in the field of electronics have made wireless sensors economical enough to be widely used. WSNs have found wide applications in defence, agriculture, seismic monitoring, health sector, urban area monitoring, etc. The battery life of nodes in such networks is a constraint. Routing algorithms chosen for WSNs should make sure that energy consumption of nodes is minimized. Geographic routing is one of the options. It can be used in large scale networks owing to its low energy consumption properties. It also gives low overhead. Geographic routing comes with an inherent defect of location errors. Location errors impair the performance of geographic routing. In this paper a protocol Enhanced Energy Conditioned Mean Square Error Algorithm (E-ECMSE) is proposed that copes with the location errors of geographic routing and hence shows a fair increase in the packet delivery ratio of the network and a decrease in the energy consumption. The number of hops in the network are controlled which directly reduce the energy consumption.


Sensor Network Wireless Sensor Network Source Node Cluster Head Destination 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.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Institute of Space TechnologyIslamabadPakistan
  2. 2.COMSATS Institute of Information TechnologyIslamabadPakistan

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