scholarly journals Energy-Efficient Constant Gain Kalman Filter Based Tracking in Wireless Sensor Network

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Kirti Hirpara ◽  
Keyur Rana
Keyword(s):  
Energy Efficiency ◽  
Kalman Filter ◽  
Wireless Sensor Network ◽  
Target Tracking ◽  
Sensor Network ◽  
Energy Efficient ◽  
Base Station ◽  
Wireless Sensor ◽  
Tracking Accuracy ◽  
Prediction Techniques

Target tracking is one of the most widely used applications of wireless sensor network (WSN). Efficient usage of energy is a key issue in WSN application such as target tracking. Another important criterion is a tracking accuracy that can be achieved by using appropriate tracking mechanism. Because of the special characteristic of WSN, there is a trade-off between tracking accuracy and power consumption. Our aim is to improve tracking accuracy as well as provide energy-efficient solution by integrating the concept of clustering and prediction techniques. This paper presents Energy-Efficient Constant Gain Kalman Filter based Tracking (EECGKFT) algorithm to optimize the energy usage and to increase the tracking accuracy. There is also a need to collect data from network having a mobile Base Station (BS). Hence, performance of proposed algorithm is analyzed for a static BS and also for mobile BS. The results depict that proposed algorithm performs better compared to the existing algorithms in energy efficiency and prediction accuracy. Analysis of results validates that EECGKFT increases energy efficiency by reducing transmission of unnecessary data in the sensor network environment and also provides good tracking results.

scholarly journals Estimation of Optimum Rendezvous Point for Mobile Sink (ORP-MS) in WSN

2018 ◽  
Vol 7 (3.12) ◽  
pp. 1322 ◽  
Author(s):  
Vrince Vimal ◽  
Madhav J Nigam
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
High Throughput ◽  
Mobile Sink ◽  
Base Station ◽  
Wireless Sensor ◽  
Cluster Heads ◽  
Rendezvous Point ◽  
Coverage Holes

Clustering of the sensors in wireless sensor network is done to achieve energy efficiency. The nodes, which are unable to join any cluster, are referred to as isolated nodes and tend to transfer information straight to the base station. It is palpable that isolated nodes and cluster heads communicate with the base station and tend to exhaust their energy leaving behind coverage holes. In this paper, we propose the innovative clustering scheme using mobile sink approach to extend networks lifetime. The proposed (ORP-MS) algorithm is implemented in MATLAB 2017a and the results revealed that the proposed algorithm outdid the existing algorithms in terms networks lifetime and energy efficiency simultaneously achieved high throughput.  

Power Layer Energy Efficient Routing Protocol in Wireless Sensor Network (PLRP)

2013 ◽  
Vol 5 (1) ◽  
pp. 57-68 ◽  
Author(s):  
Sardjoeni Moedjiono ◽  
Aries Kusdaryono
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Sensor Node ◽  
Base Station ◽  
Wireless Sensor ◽  
Energy Usage ◽  
Energy Efficient Routing

Preserving energy of sensor node in wireless sensor network is an effort to prolong the lifetime of network. Energy of sensor node is very crucial because battery powered and irreplaceable. Energy conservation of sensor node is an effort to reduce energy consumption in order to preserve resource for network lifetime. It can be achieved through efficient energy usage by reducing consumption of energy or decrease energy usage while achieving a similar outcome. In this paper, the authors propose power layer energy efficient routing protocol in wireless sensor network, named PLRP, which use power control and multi-hop routing protocol to control overhead of sensor node and create clustering to distribute energy dissipation and increase energy efficiency of all sensor node. The main idea of PLRP is the use of power control, which divide sensor node into group by base station uses layer of energy and maximize the computation energy in base station to reduce computational energy in sensor node for conservation of network lifetime. The performance of PLRP compared to BCDCP and BIDRP based of hierarchical routing protocol. The simulation results show that PLRP achieve 25% and 30% of improvement on network lifetime.

An Energy Efficiency Task Allocation Method Based on Reasoning Model in Wireless Sensor Network

2011 ◽  
Vol 268-270 ◽  
pp. 440-445
Author(s):  
Wang Lan Tian ◽  
Hong Yan Lei
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Task Allocation ◽  
Energy Efficient ◽  
Negotiation Process ◽  
Energy Threshold ◽  
Wireless Sensor ◽  
Level Energy ◽  
Allocation Model

In this paper, a reasoning model is proposed for energy efficiency task allocation in wireless sensor network. The presented energy efficient contract net protocol is used to implement the negotiation process. Multi-issue scoring function can evaluate the offer with multi-issues in a quantifiable way. An energy threshold is brought to decrease communications which will turn out to decrease nodes’ energy consumption. And the usage of energy threshold also promote the nodes with high level energy have more chance to implement tasks. The simulation results show that the allocation model has outstanding performance maintaining a fair energy balance and is energy efficient in negotiation process.

scholarly journals Efficient and Adaptive Node Selection for Target Tracking in Wireless Sensor Network

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Juan Feng ◽  
Hongwei Zhao ◽  
Baowang Lian
Keyword(s):  
Wireless Sensor Network ◽  
Target Tracking ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Selection Strategy ◽  
Tracking Accuracy ◽  
Node Selection ◽  
Information Utility ◽  
Distance Weighted

In target tracking wireless sensor network, choosing the proper working nodes can not only minimize the number of active nodes, but also satisfy the tracking reliability requirement. However, most existing works focus on selecting sensor nodes which are the nearest to the target for tracking missions and they did not consider the correlation of the location of the sensor nodes so that these approaches can not meet all the goals of the network. This work proposes an efficient and adaptive node selection approach for tracking a target in a distributed wireless sensor network. The proposed approach combines the distance-based node selection strategy and particle filter prediction considering the spatial correlation of the different sensing nodes. Moreover, a joint distance weighted measurement is proposed to estimate the information utility of sensing nodes. Experimental results show that EANS outperformed the state-of-the-art approaches by reducing the energy cost and computational complexity as well as guaranteeing the tracking accuracy.

scholarly journals An Energy Efficient Mechanism using Mutated Bat Algorithm in Wireless Sensor Network

2019 ◽  
Vol 8 (11) ◽  
pp. 3544-3550
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Bat Algorithm ◽  
Base Station ◽  
Wireless Sensor ◽  
Energy Efficient Routing ◽  
Efficient Manner ◽  
The Stability ◽  
The Cost

Today, the Wireless Sensor Network (WSN) is emerging to be a very promising technology to be employed in the future. There were different protocols in energy-efficient routing that were designed and further developed for the WSNs for the purpose of supporting data delivery given to their respective destinations. The different techniques of clustering are perused widely by different researchers for increasing their objectives of scalability and also their lifetime. There have been many protocols used for the creation of a hierarchical structure to reduce the cost of the path at the time of making any communication to the base station. This work increases an energy lifetime and the stability of the network in an efficient manner within the protocols of clustering for which several protocols were suggested. Discussion is made on the Bat Algorithm (BA), the Bat algorithm along with mutation and the Genetic Algorithm (GA). This BAT algorithm had search abilities with various applications to solve problems in engineering. There was viability for the mutated BAT algorithms observed in various tasks that were proven and were shown by the empirical outcomes thus making the proposed scheme to perform better in comparison with all schemes

scholarly journals An Election Energy Threshold Based Multi-Hop Routing Protocol in a Grid-Clustered Wireless Sensor Network

2018 ◽  
pp. 327-336 ◽  
Author(s):  
Funom Samuel Dadah ◽  
Ajayi Ore-Ofe ◽  
Aliyu D Usman ◽  
Y A Mshelia ◽  
M O Babatunde
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Routing Algorithm ◽  
Base Station ◽  
Energy Threshold ◽  
Wireless Sensor ◽  
Data Packets

Owing to the limited energy of sensor nodes (SNs) in a wireless sensor network (WSN), it is important to reduce and balance the energy consumption of the SNs in order to extend the WSN lifetime. Clustering mechanism is a highly efficient and effective mechanism for minimizing the amount of energy that SNs consume during the transmission of data packets. In this paper, an election energy threshold based multi-hop routing protocol (mEEMRP) is presented. In order to minimize energy consumption, this routing protocol uses grid clustering, where the network field is divided into grid clusters. SNs in each grid cluster select a cluster head (CH) based on a weight factor that takes the node location, node’s residual energy (RE) as well as the node’s distance from the base station into consideration. An energy efficient multi-hop routing algorithm is adopted during the transmission of data packets from the cluster heads (CHs) to the base station (BS). This multi-hop routing algorithm uses an election energy threshold value, T­nhCH that takes into consideration the RE of CHs as well as the distance between CHs. Simulation results show a 1.77% and 10.65% improvement in terms of network lifetime for two network field scenarios over Energy Efficient Multi-hop Routing Protocol (EEMRP).

Sign in / Sign up

Export Citation Format

Share Document