A New Method for Prolonging Network Lifetime and Maintaining the Connectivity in Wireless Sensor Network Through Controlling the Transmission Power

Author(s):  
Amira Bendjeddou ◽  
Nacira Ghoualmi ◽  
Congduc Pham

Energy preservation constitutes a very critical challenge in wireless sensor network surveillance applications. On one hand, transmitting data by using additional transmission power is among the biggest sources of energy consumption. On the other hand, using a small transmission power degrades the connectivity between nodes. In this paper, a Distributed transmission Power Control Method (DPCM) to minimize the consumed energy is proposed. Moreover, it aims to keep a good connectivity between nodes. These purposes are accomplished by adjusting, dynamically, the transmission power taking into account the connectivity information of the neighbors at one and two-hop. Simulation experiences are carried out to measure the performance improvements of the presented method in both static and mobile networks by using Castalia simulator. According to the obtained results, the authors' method minimizes the consumed energy without penalizing the connectivity between nodes compared to DPCS and farthest neighbor methods. In addition, DPCM achieves good performances in spite of node mobility.

2019 ◽  
Vol 2019 (22) ◽  
pp. 8400-8403 ◽  
Author(s):  
Xu-Tao Zhang ◽  
Jian-Hua Zhang ◽  
Ying Hu ◽  
Cheng-Long Dou

2012 ◽  
Vol 591-593 ◽  
pp. 1682-1686
Author(s):  
Cang Rong Zhao ◽  
Miao Miao Zheng

For optimal design of mobile robot path planning problem, an improved artificial potential field control method is designed. Using infrared sensors and ultrasonic sensors to detect the surrounding environment will get the information of obstacles and goals. Proposed an adaptive real-time localization algorithm based on improved DV-Hop algorithm to realize real-time localization for wireless sensor network mobile robot. The improved artificial potential field adopted the improved potential function that ensured the goal is the global minimum so the mobile robot can reach the goal freely. The effectiveness and feasibility of the improved algorithm verified by simulation.


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