Wireless sensor network cluster locations: A probabilistic inference approach

2011 ◽  
Author(s):  
Yu Wang ◽  
Wenye Li ◽  
Yan Sun
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Probabilistic Inference ◽  
Wireless Sensor ◽  
Network Cluster

Sailfish optimizer algorithm (SFO) for optimized clustering in wireless sensor network (WSN)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Battina Srinuvasu Kumar ◽  
S.G. Santhi ◽  
S. Narayana
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Cluster Head ◽  
Cuckoo Search ◽  
Wireless Sensor ◽  
Content Type ◽  
Network Cluster ◽  
Ideal Situation ◽  
Ch Selection

Purpose Inspired optimization algorithms respond to numerous scientific and engineering difficulties based on its flexibility and simplicity. Such algorithms are valid for optimization difficulties devoid of structural alterations. Design/methodology/approach This paper presents a nature-inspired optimization algorithm, named Sailfish optimizer (SFO) stimulated using sailfish group. Monetary custom of energy is a dangerous problem on wireless sensor network (WSN). Findings Network cluster is an effective method of reducing node power consumption and increasing network life. An algorithm for selecting cluster head (CHs) based on enhanced cuckoo search was proposed. But this algorithm uses a novel encoding system and wellness work. It integrates a few problems. To overthrow this method many metaheuristic-based CH selection algorithms are presented. To avoid this problem, this paper proposed the SFO algorithm based energy-efficient CH selection of WSN. Originality/value The proposed SFO algorithm based energy-efficient algorithm is used for discovering the CHs ideal situation. The simulations under delay, delratio, drop, energy, network lifetime, overhead and throughput are carried out.

A SURVEY ON SELF-ORGANIZED CLUSTER-BASED WIRELESS SENSOR NETWORK

2015 ◽  
Vol 76 (1) ◽  
Author(s):  
Asim Zeb ◽  
A. K. M. Muzahidul Islam ◽  
Sabariah Baharun ◽  
Nafees Mansoor ◽  
Yoshiaki Katayama
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Formation ◽  
Data Communication ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Research Issues ◽  
Self Organized ◽  
Network Cluster ◽  
Performance Matrix

Study on Wireless Sensor Network (WSN) has been expended enormously in recent years. Sensor nodes are deployed in harsh environment which is operated autonomously. Network formation of WSNs are of two types, namely flat network and cluster-based network. Cluster-based network has various advantages as compare to flat network such as, efficient topology management, energy efficiency, minimized delay, better network communication, etc. Another important feature of cluster-based network is self-organized network. Self-organized enables new nodes joining to increase the coverage of the network and existing nodes leaving the network as node have limited energy. In recent years the demand of self-organized network is tremendously increasing to overcome the problem of node joining and leaving which maintain the smooth data communication. Thus, this survey addresses latest research works regarding self-organized cluster-based network. Moreover, a unique performance matrix is also investigated in this article to measure the algorithms. Finally, open research issues are highlighted for self-organized clustering schemes that might be future line of action.      

Sign in / Sign up

Export Citation Format

Share Document