scholarly journals Residual Energy and Distance based Energy-Efficient Communication Protocol for Wireless Sensor Network

2013 ◽  
Vol 74 (12) ◽  
pp. 11-16 ◽  
Author(s):  
Atul PratapSingh ◽  
Nishu Sharma ◽  
Nihar Ranjan Roy
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Communication Protocol ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Energy Efficient Communication ◽  
Efficient Communication

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 Cooperative Game Theory Approach for Energy-Efficient Node Clustering in Wireless Sensor Network

2020 ◽  
Vol 20 (2) ◽  
pp. 76
Author(s):  
Chaeriah Bin Ali Wael ◽  
Nasrullah Armi ◽  
Arumjeni Mitayani ◽  
Suyoto Suyoto ◽  
Salita Ulitia Prini ◽  
...  
Keyword(s):  
Game Theory ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cooperative Game ◽  
Energy Efficient ◽  
Cooperative Game Theory ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Theory Approach ◽  
Energy Efficient Clustering

Energy consumption is one of the critical challenges in designing wireless sensor network (WSN) since it is typically composed of resource-constrained devices. Many studies have been proposed clustering to deal with energy conservation in WSN. Due to its predominance in coordinating the behaviors of many players, game theory has been considered for improving energy efficiency in WSN. In this paper, we evaluate the performance of cooperative game theoretic clustering (CGC) algorithm which employs cooperative game theory in a form of 3-agent cost sharing game for energy-efficient clustering in WSN. Furthermore, we compared its performance to a well-known traditional clustering method, low-energy adaptive clustering hierarchy (LEACH), in terms of network lifetime and stability, and total residual energy. The simulation results show that CGC has better performance compared to LEACH due to the cooperation among cluster heads in coalition. CGC has higher alive nodes with stability improvement of first node dies (FND) by 65%, and the improvement by 52.4% for half node dies (HND). However, with the increasing of the number of nodes, the performance of LEACH is getting better compared to CGC.

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.  

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