On the Delay Performance of In-Network Aggregation in Lossy Wireless Sensor Networks

2014 ◽  
Vol 22 (2) ◽  
pp. 662-673 ◽  
Author(s):  
Changhee Joo ◽  
Ness B. Shroff
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Delay Performance ◽  
Network Aggregation

Track Topology Based Reliable In-Network Aggregation Scheduling in Wireless Sensor Networks

2014 ◽  
Vol E97.B (11) ◽  
pp. 2386-2394
Author(s):  
Jang Woon BAEK ◽  
Kee-Koo KWON ◽  
Su-In LEE ◽  
Dae-Wha SEO
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Network Aggregation

DRINA: A Lightweight and Reliable Routing Approach for In-Network Aggregation in Wireless Sensor Networks

2013 ◽  
Vol 62 (4) ◽  
pp. 676-689 ◽  
Author(s):  
L. A. Villas ◽  
A. Boukerche ◽  
H. S. Ramos ◽  
H. A. B. F. de Oliveira ◽  
R. B. de Araujo ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Reliable Routing ◽  
Network Aggregation

scholarly journals Privacy Preserving In-network Aggregation in Wireless Sensor Networks

2016 ◽  
Vol 94 ◽  
pp. 216-223 ◽  
Author(s):  
Vishal Krishna Singh ◽  
Saurabh Verma ◽  
Manish Kumar
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Privacy Preserving ◽  
Wireless Sensor ◽  
Network Aggregation

scholarly journals Energy-efficient genetic algorithm variants of PEGASIS for 3D Wireless Sensor Networks

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aaqil Somauroo ◽  
Vandana Bassoo
Keyword(s):  
Genetic Algorithm ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Residual Energy ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Efficient Routing ◽  
Delay Performance

Due to its boundless potential applications, Wireless Sensor Networks have been subject to much research in the last two decades. WSNs are often deployed in remote environments making replacement of batteries not feasible. Low energy consumption being of prime requisite led to the development of energy-efficient routing protocols. The proposed routing algorithms seek to prolong the lifetime of sensor nodes in the relatively unexplored area of 3D WSNs. The schemes use chain-based routing technique PEGASIS as basis and employ genetic algorithm to build the chain instead of the greedy algorithm. Proposed schemes will incorporate an energy and distance aware CH selection technique to improve load balancing. Clustering of the network is also implemented to reduce number of nodes in a chain and hence reduce delay. Simulation of our proposed protocols is carried out for homogeneous networks considering separately cases for a static base-station inside and outside the network. Results indicate considerable improvement in lifetime over PEGASIS of 817% and 420% for base station inside and outside the network respectively. Residual energy and delay performance are also considered.

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