scholarly journals Novel Bacteria Foraging Optimization for Energy-efficient Communication in Wireless Sensor Network

2018 ◽  
Vol 8 (6) ◽  
pp. 4755
Author(s):  
Hemavathi P ◽  
Nandakumar A. N.
Keyword(s):  
Wireless Sensor Network ◽  
Swarm Intelligence ◽  
Sensor Network ◽  
Energy Efficient ◽  
Residual Energy ◽  
Optimization Techniques ◽  
Wireless Sensor ◽  
Efficient Communication ◽  
Communication Demands ◽  
Standard Energy

Optimization techniques based on Swarm-intelligence has been reported to have significant benefits towards addressing communication issues in Wireless Sensor Network (WSN). We reviewed the most dominant swarm intelligence technique called as Bacteria Foraging Optimization (BFO) to find that there are very less significant model towards addressing the problems in WSN. Therefore, the proposed paper introduced a novel BFO algorithm which maintains a very good balance between the computational and communication demands of a sensor node unlike the conventional BFO algorithms. The significant contribution of the proposed study is to minimize the iterative steps and inclusion of minimization of both receiving / transmittance power in entire data aggregation process. The study outcome when compared with standard energy-efficient algorithm was found to offer superior network lifetime in terms of higher residual energy as well as data transmission performance.

scholarly journals Design and development of C3 protocol for performance measurement of wireless sensor network

2018 ◽  
Vol 7 (2.31) ◽  
pp. 63
Author(s):  
Kasturi S. Patil
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
First Century ◽  
Sensor Nodes ◽  
Analytical Models ◽  
Wireless Sensor ◽  
Technology Changes ◽  
Energy Efficient Communication ◽  
Efficient Communication ◽  
Reception System

In twenty-first century, technology changes tremendously. A wireless sensor network is bunch of sundry sensor nodes where, nodes are distributed arbitrarily. Sensor consumes most of its energy in data transmission and reception. System ascertained different amended protocols for performance quantification of WSN. Sensing node sense environment but doesn’t transmit or receive the data. Slumber nodes neither sense environment nor transmit or receive data. Proposed system validate the analytical models utilizing extensive simulations incorporating experimental results on the substratum of different parameter here performance is checked. A protocol for communication and connectivity in Wireless Sensor Network is proposed. This ascertains coverage, connectivity and energy-efficient communication. It contains steps such as: Declaration of deployment area, cull of nodes, connectivity of nodes, and communication between all nodes.  

Sign in / Sign up

Export Citation Format

Share Document