Impact of wireless sensor network cluster architecture in wireless channel performance

2014 ◽  
Author(s):  
Leire Azpilicueta ◽  
Jose Javier Astrain ◽  
Jesus Villadangos ◽  
Francisco Falcone
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Channel ◽  
Wireless Sensor ◽  
Cluster Architecture ◽  
Network Cluster ◽  
Channel Performance

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.

Review on Use of Wireless Sensor Network To Overcome Agricultural Problems of Pakistan

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Osama Mahfooz ◽  
Mujtaba Memon ◽  
Javier Poncela
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Energy Efficient ◽  
Underground Mining ◽  
Wireless Channel ◽  
Wireless Sensor ◽  
Channel Information ◽  
Physical Phenomena

<span>Wireless sensor networks are the communication of small<span> sensing el- ements which collaborate with each other to collect<span> process and communicate over wireless channel information<span> about some physical phenomena. These self- managing,<span> highly robust and energy efficient networks can be excellent<span> means for monitoring underground mining, wildlife and<span> various physical infrastruc- tures such as bridges, pipelines,<span> and buildings. This paper introduces wireless sensor<span> networks to address specific problems in agriculture system<span> of agricul- tural countries like Pakistan and discusses WSN’s<span> usefulness to overcome those problems.<br /><br class="Apple-interchange-newline" /></span></span></span></span></span></span></span></span></span></span></span>

Design and Implementation of Minimum Hop Routing Algorithm with Reliability Assurance for WSN

2011 ◽  
Vol 268-270 ◽  
pp. 975-980 ◽  
Author(s):  
Xuan He ◽  
Hai Zhao ◽  
Bi Ju Yu ◽  
Jian Zhu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Network Routing ◽  
Wireless Channel ◽  
Wireless Sensor ◽  
Specific Factor ◽  
Hop Count ◽  
Routing Strategy ◽  
Filter Mechanism

Design of wireless sensor network routing protocol is still a problem that should be solved quickly. Although there are many achievements in this field, they all focus on single one property of WSN( Wireless Sensor Network) such as delay, hop count, energy consumption and so on. Dealing with the distinctive features of wireless channel, a routing strategy named MHRR( Minimum Hop Routing algorithm with Reliability assurance) based on AODV is proposed. Firstly, this paper provides a method which preserves multiple optimum routes by broadcasting and responding data frame; secondly, a routing filter mechanism is proposed to enhance the reliability of the network. At last, the optimum route can be chosen by specific factor in different situations. Experiments show that MHRR strategy is competent to deal with dynamic and bandwidth constrained WSN in reliability and delay.

Identification and Localization of the Jammer in Wireless Sensor Networks

2019 ◽  
Vol 62 (10) ◽  
pp. 1515-1527
Author(s):  
Jianhua Fan ◽  
Tao Liang ◽  
Tongxiang Wang ◽  
Jianwei Liu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Mean Value ◽  
Wireless Channel ◽  
Wireless Sensor ◽  
Localization Algorithms ◽  
Straight Line ◽  
Propagation Parameters ◽  
The Mean ◽  
Normal Transmission

Abstract Wireless sensor network can be easily attacked by jammers for its shared character and open access to the wireless channel. Jamming attack could produce a significant threat to the network by interrupting the normal transmission of nodes. To this end, several anti-jamming countermeasures have been proposed to improve the quality of service of the wireless sensor network. As an important building block for anti-jamming countermeasures, the estimation of jammer’s location could provide us a possible way to eliminate jammers artificially. However, existing localization algorithms mainly pay attention to locate the jammers that are equipped with omnidirectional antennas, which usually fail to cope with directional jammers. In order to bridge this gap, an algorithm of antenna identification and localization of the jammer (AILJ) based on the topology information of jamming scenarios is put forward in this paper. At first, a collection protocol is designed to collect the information of boundary nodes and jammed nodes. Then, an identification method based on the classification of the boundary nodes is proposed to derive the type of jammer’s antenna. At last, a range-free method is put forward to locate the jammer without relying on the propagation parameters. The proposed AILJ only depends on the localization of jammed nodes and boundary nodes and employs their geometry knowledge. For the omnidirectional jammer, the mean center of two circumcircles is considered as the jammer’s position. For the directional jammer, the mean value of the intersections between the straight line that represents jammer’s direction and the circumcircles is considered as the directional jammer’s position. Finally, a series of experiments have been conducted to evaluate the identification and localization performance of AILJ.

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