Using mobile data collectors to improve network lifetime of wireless sensor networks with reliability constraints

Vupputuri, Saamaja; Rachuri, Kiran K.; Murthy, C. Siva Ram

doi:10.1016/j.jpdc.2010.03.010

Cited by 39 publications

(33 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This relationship reduced the cost of system along with the network life. S. Vupputuri [9] focused on maximizing the life of network by using mobile collectors. Movement of collectors is controllable.…”

Section: Related Workmentioning

confidence: 99%

Mobile Sink Path Optimization for Data Gathering Using Neural Networks in WSN

Kaura¹,

Narula²

2017

IJWMT

View full text Add to dashboard Cite

Wireless sensor networks are being used for various applications for collection of heterogeneous data. Hotspot problem is major issue of concern that affects the connectivity of entire network along with decreasing lifetime of network. The focus in this paper is lies on optimizing the path followed by the mobile sink for collection of data. The proposed work aims at reducing the hotspot problem and increasing the lifetime. A trained neural network is used to select the best route to be followed by mobile sink. In the proposed work, the stop points are identified which allow the communication between the nodes and the movable sink. The experimental results of the work carried out show that tour length of the sink is greatly reduced and the network lifetime (number of rounds) is increased. Increased lifetime also handles the problem of hotspots.Index Terms: Wireless sensor network, trained neural network, stop points, cluster head.

show abstract

Section: Related Workmentioning

confidence: 99%

Mobile Sink Path Optimization for Data Gathering Using Neural Networks in WSN

Kaura¹,

Narula²

2017

IJWMT

View full text Add to dashboard Cite

show abstract

“…In [20], performance of WSN for the energy efficiency is measured using static and mobile sink with a duty cycle as the computation metric. In [21], it shows that uniform deployment of static heterogeneous nodes with a separate data collector has the improvement in network lifetime. It avoids the hotspots, but has more energy consumption.…”

Section: Related Workmentioning

confidence: 99%

Mobility and Heterogeneity Aware Cluster-Based Data Aggregation for Wireless Sensor Network

Mantri

Prasad

2015

Wireless Pers Commun

View full text Add to dashboard Cite

Internet of things is the modern era, which offers a variety of novel applications for mobile targets and opens the new domains for the distributed data aggregations using wireless sensor networks. However, low cost tiny sensors used for network formation generate the large amount of redundant sensing data and hence, results in energy and bandwidth constraints. In this context, the paper proposes the sink mobility and nodes heterogeneity aware cluster-based data aggregation algorithm (MHCDA) for efficient bandwidth utilization and an increase in network lifetime. The proposed algorithm uses a predefined region for the aggregation of packets at the cluster head for minimizing computation and communication cost. MHCDA exploits correlation of data packets generated by nodes with a variable packet generation rate to reduce energy consumption by 8.66 %. Also, it prolongs the network life by 23.53 % as compared to with and without mobility of the sink and state of the-art solutions.

show abstract

“…Vupputuri, Rachuri and Ram Murthy [12] use mobile data collectors to achieve energy efficient and reliable data communication. When an event occurs, sensor nodes inform the nearest data collector.…”

Section: Related Workmentioning

confidence: 99%