Perform these steps for each & every cluster. SELECT_CLUSTERHEAD (n, S) Begin: Step1. Let we have a set S of n nodes in a cluster viz. S= {S1, S2, S3… Sn} Step2. Calculate the distance of one node to all nodes. for i=1 to n do for j=1 to n do dij = distance from si to sj endfor endfor Step3. Calculate the sum of all distance from one to all nodes. for i=1 to n do for j=1 to n do Di=Di + dij endfor endfor Step4. Calculate distance from BS to each node for all nodes. for i=1 to n do DBSi = Distance from BS to Si endfor Step5. Calculate the net distance with base station for each node for i =1 to n do NDBSi=DBSi + Di endfor Step6. Select the cluster head based on all NDBS values. NDBSi =Min (NDBS1, NDBS2, NDBS3, NDBS4… NDBSn) And corresponding
Explain the steps a cosmetologist who wants to open a salon would need to take.The license cosmetologist that wants to open a salon will also have to get the salon a proper and up-to-date license. They will need to check state regulations first and see what the requirements are. One of the top considerations that cosmetologist who are looking for a space to open a salon is air quality.
Authorization is the act of checking to determine if a user has the proper permission to access a file or perform an action, after the user has properly identified themselves through authentication (Username/Password). Authorization is provided to users based on a job requirement or a need to know that allows them to access the required material. Authorization is usually determined when a user first gains access to a system but may change over time. If a change occurs that requires more or less authorization for a particular employee, the concerned supervisor should contact the appropriate authority to make the change.
Lab Three repeats much of Lab Two by setting up the same core services, DNS and DHCP, but adds Microsoft’s Active Directory role to the server. The lab introduces the student to administrating these services in a Graphical based, Windows environment.
1.13)Ans.Mainframe or Minicomputer: The resources which has to be managed carefully are memory and CPU resources and the network bandwidth,
1. Define and give examples of what terrorism is and the associated risks involved for emergency responders.
This is a direct extension of the 802.11b that extends the maximum data rate to 54Mbps, making it possible to serve up to five times as many users. Our Wi-Fi network is based on the IEEE 802.11 b/g standards, which is the most commonly used standard. We have added Wi-Fi access points in our network to give easier access to corporate data and services. Most of the devices in this network, for example the personal computers, smartphones, digital cameras, tablets and digital audio players connected using the Wi-Fi technology. The hotspot will be in the range of 20 meters (66 feet) indoors and a greater range outside.
The CSC's first step consists on creating all the possible direct edges by employing the maximum available transmission power $P_{MAX}$. The algorithm for this step takes as input: the node set $V = {v_1, v_2, ..., v_n}$ with location information; the maximum transmission power $P_{MAX}$. As output, a direct graph $\overline{G}$ is produced. Figure \ref{top_nos} shows an input graph which consists of 500$\times$500 area with $n = 70$ nodes and no edges. Figure \ref{top_original} show the resulting graph when nodes create edges based on its maximum transmission power. In this examples, the maximum transmission power is $P_{MAX} = 4900$ and the maximum transmission range is $R_{MAX}$ = 70 meters. Note that the resulting graph is not necessarily connected.
with the quantization step of ${\rm N} = \left[ {\frac{H}{{\Delta Y_k}}} \right]$. The nodes are divided into ${L}$ steps and we decide whether node $j$ is selected
where $W_D(H_{i,j}$) is the minimum power consumption of the node $v_i$ to communicate with the farthest node in $H_{i,j}$, and $W_{CC}(H_{i,j}$) is the minimum power consumption of the node $v_i$ to
Having obtained the edge information, the distances from nodes $n_2$ to $n_1$, $n_5$, and $n_6$ are computed.
Proposed algorithm consider three types of nodes every type have different initial energy level. normal nodes have E_0 energy. m advanced nodes have a times energy more than normal nodes with E_0 (1+a) energy level. m_0 super nodes have b times energy more than normal nodes with E_0 (1+b) energy level, where a and b are energy factors. As N is the number of total nodes in network, then for number of normal nodes, advanced nodes and super nodes N(1-m) , Nm〖(1-m〗_0) and Nmm_0 in the network, respectively.
The remaining individuals are now examined in sequence and allocated to the cluster to which they are closest, in terms of Euclidean distance to the cluster mean. The mean vector is recalculated
We call the contracts that belong to a cluster a member of that particular cluster. The k-prototype algorithm can update the cluster memberships γ_i^((0))given the centroids, and it can update the centroids given cluster memberships. This process is repeated until some conditions (explained in step1.4) happened. This process includes the following steps,
3.2.10 HSA: Harmony Search Algorithms This is music based metaherustic optimization algorithm which is closely resembling with a music improvisation process where artist keep on polish the contributes request to get better harmony. By which it optimizing the energy utilization and limiting intra- cluster separation of the network. In this the base station figures and apportions nodes into clusters as indicated by the data of their remaining energy and area. The operation has two stages: clustering setup and data transmission. This algorithm gives change in term of energy utilization and network life time over LEACH protocol. With a little network distance across, vitality utilization of the network is practically same when utilizing diverse clustering protocols.
with most extreme number of sensor nodes in each cluster could be accomplished. The weight capacities at every sensor node, which is a blend of various parameters including: residual energy, number of neighbors and transmission control. Basically CFL clustering algorithm is designed for localization in WSNs. It is unable to work when the distribution of sensor nodes are not good.