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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
Sunday 18 November 2018

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ANMAC-Based Energy Development for Wireless Sensor Networks Incorporated With Mobile Cloud Computing


Volume 22, Issue 2, April 2016, Pages 266–274

 ANMAC-Based Energy Development for Wireless Sensor Networks Incorporated With Mobile Cloud Computing

S. Rubini

Original language: English

Received 31 March 2016

Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


Aiming at providing mobile users with the WSN data gathered by the powerful cloud computing exploiting the advantages of evolving mobile cloud computing with respect to wireless sensor networks. Current scenario presented with the below limitations.1. The specific data mobile users request usually depends on the current locations of mobile users 2. Most sensors are usually equipped with non-rechargeable batteries with limited energy. Planned Angle based Medium Access Control (ANMAC) protocol that avoids each issue through medium access tables in the nodes that keep track of the locations of the destination nodes in addition as all act neighbours. During this paper, elaborated performance analysis of ANMAC considering totally different topologies and traffic eventualities, and we show that SDMA cannot be totally exploited while not a smart computer hardware. Proposed ANMAC with Location based programming (ANMAC-LS) and compare its performance with alternative sensible antenna approaches and omni 802.11 MAC. Tend to prove the potency of location based programming in wireless networks with sensible antennas, and that we conjointly show the consequences of antenna orientation on turnout, mistreatment realistic antenna patterns and ANMAC protocol.

Author Keywords: Wireless Sensor Networks, Mobile cloud computing, ANMAC, CLSS.


How to Cite this Article


S. Rubini, “ANMAC-Based Energy Development for Wireless Sensor Networks Incorporated With Mobile Cloud Computing,” International Journal of Innovation and Scientific Research, vol. 22, no. 2, pp. 266–274, April 2016.