Title of article
Decrease Number of Bit ID in Wireless Sensor Network by Using Huffman Algorithm
Author/Authors
Mohammadi، Parisa نويسنده Department of Biology, Faculty of Science, Alzahra University, Tehran , , Jamali ، Shahram نويسنده , , Analoui، Mortaza نويسنده Department of Computer Engineering, Iran University of Science and Technology. Tehran, Iran. ,
Issue Information
روزنامه با شماره پیاپی سال 2013
Pages
10
From page
127
To page
136
Abstract
A wireless sensor network consists of many low-cost, low-power sensor nodes, which can perform sensing, simple computation,
and transmission of sensed information. Long distance transmission by sensor nodes is not energy efficient, since energy
consumption is a superliner function of the transmission distance., which can have their batteries And its sensing tasks in a given
environment are doing. It is comprised of one or more master nodes which have sensed data is collected And a central processing
and storage system communicates . A sensor node typically gets its power from a battery. Because a sensor network routing
protocols require a node identifier These identifiers are required in securing these networks require a unique identifier on each
packet has a header . The length of the ID is important in these networks . In this paper we solve the problem of assigning a unique
identifier Huffman offer . We use a unique identifier Huffman codes , short for wireless sensor nodes . Our nodes are organized in a
tree structure .This tree structure is used to calculate the size of the network and then form the Huffman tree to assign a unique ID to
each node deals with the shortest name . Our algorithm for an area with a large number of sensors are simulated using Matlab
software. We then evaluate the performance And the results more casts with the same density and non- uniform density compared
to more casts. This work provides a solution to identify malicious nodes in wireless sensor networks through detection of malicious
message transmissions in a network. A message transmissions considered suspicious if its signal strength is incompatible with its
originator’s geographical position. We provide protocols for detecting suspicious transmissions – and the consequent identification
of malicious nodes – and for disseminating this information in the network. We evaluate the detection rate and the efficiency of our
solution along a number of parameters. The department has been using a new method for assigning Huffman node ID - the ID of the
sensor introduced that will be the least bit.
Journal title
Journal of Applied Environmental and Biological Sciences
Serial Year
2013
Journal title
Journal of Applied Environmental and Biological Sciences
Record number
2037996
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