A Fuzzy-Based Cluster-Head Selection System for WSNs Considering Sensor Node Movement

Author(s):  
Hironori Ando ◽  
Qi Wang ◽  
Leonard Barolli ◽  
Elis Kulla ◽  
Arjan Durresi ◽  
...  
Author(s):  
Sandeep Kaur ◽  
Dr. Rajeev Bedi ◽  
Mohit Marwaha

In WSNs, the only source to save life for the node is the battery consumption. During communication with other area nodes or sensing activities consumes a lot of power energy in processing the data and transmitting the collected/selected data to the sink. In wireless sensor networks, energy conservation is directly to the network lifetime and energy plays an important role in the cluster head selection. A new threshold has been formulated for cluster head selection, which is based on remaining energy of the sensor node and the distance from the base station. Proposed approach selects the cluster head nearer to base station having maximum remaining energy than any other sensor node in multi-hop communication. The multi hop approach minimizing the inter cluster communication without effecting the data reliability.


Author(s):  
Hironori Ando ◽  
Elis Kulla ◽  
Leonard Barolli ◽  
Arjan Durresi ◽  
Fatos Xhafa ◽  
...  

Author(s):  
Chaitra HV ◽  
Dr. Ravikumar G.K

<p>Wireless sensor has attained wide interest across various industries due to availability of low cost sensor device. Preserving battery/energy of these sensor device is most desired. Recently, many approaches has been presented to improve lifetime of sensor network adopting clustering technique. Cluster head selection play an important factor in improving lifetime of cluster based network. For improving cluster head selection multi-objective function are presented in recent time by adopting evolutionary computing and metaheuristic algorithm. However, the existing model incurs computation overhead due to NP-Hard problem and connectivity issues is not considered. Thus affecting network performance. To address the research issues, this work present a novel Multi-objective imperialist competitive algorithm (MOICA) for cluster head selection and routing optimization. Experiment are conducted to evaluate the performance of MOICA over LEACH in term of lifetime performance considering first sensor node death and 75% sensor node death. The outcome shows MOICA achieves significance improvement over LEACH based protocols. </p>


2018 ◽  
Vol 7 (02) ◽  
pp. 23590-23595
Author(s):  
Piyush Mahajan ◽  
Navjeet Saini ◽  
Deepak Kumar

In WSN routing is the primary task for data communication between CHs to BS. The routing algorithm used should be energy efficient so that it can surmount related power constraints. As LEACH is energy efficient cluster based routing protocol used in Wireless sensor network, there are many version of LEACH one of them is MODLEACH. MODLEACH introducing efficient cluster head replacement scheme and dual transmitting power levels, However the efficiency of the MODLEACH can further be increased by introducing certain changes in the CH selection process and Multi-Hop communication between CH and BS. The cluster head selection is based on the probability and the threshold equation, but this may be problem for the next round. There is no concept that, it is based on nth power of energy conservation technique because cluster head selection not consider  any energy based parameter like residual energy of sensor node to be formed as CH


Sign in / Sign up

Export Citation Format

Share Document