Open AccessOptimal Placement of Sensors in Mission-specific Mobile Sensor Networks
Author(s) -
Hicham Ouchitachen,
Abdellatif Haïr,
Najlae Idrissi
Publication year - 2015
Publication title -
telkomnika: indonesian journal of electrical engineering/telkomnika
Language(s) - English
Resource type - Journals
eISSN - 2460-7673
pISSN - 2302-4046
DOI - 10.11591/tijee.v16i1.1603
Subject(s) - wireless sensor network , computer science , key distribution in wireless sensor networks , energy consumption , convergence (economics) , context (archaeology) , node (physics) , real time computing , sensor node , mobile wireless sensor network , position (finance) , energy (signal processing) , power consumption , computer network , wireless , distributed computing , wireless network , power (physics) , engineering , telecommunications , mathematics , electrical engineering , geography , economic growth , structural engineering , statistics , finance , economics , archaeology , quantum mechanics , physics
Placement of nodes has been the major challenge in wireless sensor networks. The data reported from a sensor is only useful when the position of that sensor is found. In this context, several techniques have been proposed to conserve power consumption and to prolong the lifetime of the wireless sensor networks. In this paper, we propose a new algorithm that accurately finds the best locations of sensors while minimizing the average energy consumed in the network. More precisely, we consider a critical network in each sensor satisfying its own missions and depending on its locations. In addition to fulfill their mission, the sensor tries to maintain a good neighboring nodes quality. we determine the location of node by using two criteria: the cost and the quality of communication. The aim of this work is to develop a new algorithm so as to solve the complicated optimization problem posed in this case while minimize the total energy consumption. Our simulation results demonstrate that our algorithm is very advantageous in terms of convergence to the appropriate locations.