ArtsAutosBooksBusinessEducationEntertainmentFamilyFashionFoodGamesGenderHealthHolidaysHomeHubPagesPersonal FinancePetsPoliticsReligionSportsTechnologyTravel

Valid Network IDs : The Quickest Way to Define All Valid Network IDs

Updated on July 15, 2011

In Subnet Mask : The Quickest Way to Define Subnet Mask, you have learnt how to define or calculate subnet quickly. This page will describe the quickest way to define all valid network IDs. You will also found some questions on your CCNA exam or your real life job exam. To calculate valid network IDs is very simple. Read the page and you will learn easily, to determine all the valid network IDs.

One thing, I want to remind you again. Please memorize the following chart. I think you have already done. If not, please do it.

[Note: Visit Subnetting Index or type http://hubpages.com/_ccna/hub/Subnet to your browser address bar to learn a-to-z of subnetting. Many examples are there to make you a smart master of subnetting.]

Steps to define all valid network IDs:

  1. Select the octet (the octet that is used to calculate subnet) and calculate it's decimal value.
  2. Determine that octet's smallest decimal value also. This value is the incremental value of the networks.
  3. Calculate the total no of subnets. To do so, [a] first select the subnet octet and convert all the bits (low order) [b] calculate the decimal value of that octet and [c] subtract 1 from the decimal value. In this way, you will find the total no of subnets.
  4. Now, list each subnet addresses. Start from the IP address and increment by the value (the value you get from step 2) and increase by that value until the total no of available subnets are reached.

Explanation with an Example

Let we have a IP address like 150.100.0.0. We want to find all the valid network IDs. We require 45 individual subnetworks. To do it, we follow the above steps one by one.

Subnet calculation is already explained into Subnet Mask : The Quickest Way to Define Subnet Mask. To see that please go to that link. In this page, the quickest way to define all valid network IDs are explained.

Step 1: Select the octet (the octet that is used to calculate subnet) and calculate it's decimal value.

The subnet mask of this IP starts from third octet. Here, we find the value 11111100 (in binary) and convert it to decimal value. The decimal value of 11111100 is 252.

Step 2: Determine that octet's smallest decimal value also. This value is the incremental value of the networks.

From the subnet octet, the decimal value of the small bits are 4. This value is used for incrementing the networking IDs. Moreover, you will start counting all the value networks by this value and increment the network by this value.

Step 3: Calculate the total no of subnets. To do so, [a] first select the subnet octet and convert all the bits (low order) [b] calculate the decimal value of that octet and [c] subtract 1 from the decimal value. In this way, you will find the total no of subnets.

Calculate the decimal value of the binar address listed in low order.You will find the value = (61-1) = 62. This value, 62 is the total number of valid network IDs of your IP.

Step 4: Now, list each subnet addresses. Start from the IP address and increment by the value (the value you get from step 2) and increase by that value until the total no of available subnets are reached.

From the step to, we calculate that the incremental value will be 4. So, the first subnet address will be 150.100.4.0, the next address will be 150.100.8.0, and so on. All the network IDs are look like the followings:

Network no   Network addres
1            150.100.4.0
2            150.100.8.0
3            150.100.12.0
4            150.100.16.0
5            150.100.20.0
.............................
.............................
.............................
.............................
62           150.100.248.0

Shortcuts to determine all valid network IDs

© Written by rancidTaste

working

This website uses cookies

As a user in the EEA, your approval is needed on a few things. To provide a better website experience, hubpages.com uses cookies (and other similar technologies) and may collect, process, and share personal data. Please choose which areas of our service you consent to our doing so.

For more information on managing or withdrawing consents and how we handle data, visit our Privacy Policy at: https://corp.maven.io/privacy-policy

Show Details
Necessary
HubPages Device IDThis is used to identify particular browsers or devices when the access the service, and is used for security reasons.
LoginThis is necessary to sign in to the HubPages Service.
Google RecaptchaThis is used to prevent bots and spam. (Privacy Policy)
AkismetThis is used to detect comment spam. (Privacy Policy)
HubPages Google AnalyticsThis is used to provide data on traffic to our website, all personally identifyable data is anonymized. (Privacy Policy)
HubPages Traffic PixelThis is used to collect data on traffic to articles and other pages on our site. Unless you are signed in to a HubPages account, all personally identifiable information is anonymized.
Amazon Web ServicesThis is a cloud services platform that we used to host our service. (Privacy Policy)
CloudflareThis is a cloud CDN service that we use to efficiently deliver files required for our service to operate such as javascript, cascading style sheets, images, and videos. (Privacy Policy)
Google Hosted LibrariesJavascript software libraries such as jQuery are loaded at endpoints on the googleapis.com or gstatic.com domains, for performance and efficiency reasons. (Privacy Policy)
Features
Google Custom SearchThis is feature allows you to search the site. (Privacy Policy)
Google MapsSome articles have Google Maps embedded in them. (Privacy Policy)
Google ChartsThis is used to display charts and graphs on articles and the author center. (Privacy Policy)
Google AdSense Host APIThis service allows you to sign up for or associate a Google AdSense account with HubPages, so that you can earn money from ads on your articles. No data is shared unless you engage with this feature. (Privacy Policy)
Google YouTubeSome articles have YouTube videos embedded in them. (Privacy Policy)
VimeoSome articles have Vimeo videos embedded in them. (Privacy Policy)
PaypalThis is used for a registered author who enrolls in the HubPages Earnings program and requests to be paid via PayPal. No data is shared with Paypal unless you engage with this feature. (Privacy Policy)
Facebook LoginYou can use this to streamline signing up for, or signing in to your Hubpages account. No data is shared with Facebook unless you engage with this feature. (Privacy Policy)
MavenThis supports the Maven widget and search functionality. (Privacy Policy)
Marketing
Google AdSenseThis is an ad network. (Privacy Policy)
Google DoubleClickGoogle provides ad serving technology and runs an ad network. (Privacy Policy)
Index ExchangeThis is an ad network. (Privacy Policy)
SovrnThis is an ad network. (Privacy Policy)
Facebook AdsThis is an ad network. (Privacy Policy)
Amazon Unified Ad MarketplaceThis is an ad network. (Privacy Policy)
AppNexusThis is an ad network. (Privacy Policy)
OpenxThis is an ad network. (Privacy Policy)
Rubicon ProjectThis is an ad network. (Privacy Policy)
TripleLiftThis is an ad network. (Privacy Policy)
Say MediaWe partner with Say Media to deliver ad campaigns on our sites. (Privacy Policy)
Remarketing PixelsWe may use remarketing pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to advertise the HubPages Service to people that have visited our sites.
Conversion Tracking PixelsWe may use conversion tracking pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to identify when an advertisement has successfully resulted in the desired action, such as signing up for the HubPages Service or publishing an article on the HubPages Service.
Statistics
Author Google AnalyticsThis is used to provide traffic data and reports to the authors of articles on the HubPages Service. (Privacy Policy)
ComscoreComScore is a media measurement and analytics company providing marketing data and analytics to enterprises, media and advertising agencies, and publishers. Non-consent will result in ComScore only processing obfuscated personal data. (Privacy Policy)
Amazon Tracking PixelSome articles display amazon products as part of the Amazon Affiliate program, this pixel provides traffic statistics for those products (Privacy Policy)
ClickscoThis is a data management platform studying reader behavior (Privacy Policy)