Towards an Optimal Positioning of Multiple Mobile Sinks in WSNs for Buildings
نویسندگان
چکیده
The need for wireless sensor networks is rapidly growing in a wide range of applications specially for buildings automation. In such networks, a large number of sensors with limited energy supply are in charge of relaying the sensed data hop by hop to the nearest sink. The sensors closest to the sinks deplete their energy much faster than distant nodes because they carry heavy traffic which causes prematurely the end of the network lifetime. Employing mobile sinks can alleviate this problem by distributing the high traffic load among the sensors and increase the network lifetime. In this work, we aim to find the best way to relocate sinks inside buildings by determining their optimal locations and the duration of their sojourn time. Therefore, we propose an Integer Linear Program for multiple mobile sinks which directly maximizes the network lifetime instead of minimizing the energy consumption or maximizing the residual energy, which is what was done in previous solutions. We evaluated the performance of our approach by simulation and compared it with others schemes. The results show that our solution extends significantly the network lifetime and balances notably the energy consumption among the nodes.
منابع مشابه
3D Path Planning Algorithm for Mobile Anchor-Assisted Positioning in Wireless Sensor Networks
Positioning service is one of Wireless Sensor Networks’ (WSNs) fundamental services. The accurate position of the sensor nodes plays a vital role in many applications of WSNs. In this paper, a 3D positioning algorithm is being proposed, using mobile anchor node to assist sensor nodes in order to estimate their positions in a 3D geospatial environment. However, mobile anchor node’s 3D path optim...
متن کاملGravitational Search Algorithm to Solve the K-of-N Lifetime Problem in Two-Tiered WSNs
Wireless Sensor Networks (WSNs) are networks of autonomous nodes used for monitoring an environment. In designing WSNs, one of the main issues is limited energy source for each sensor node. Hence, offering ways to optimize energy consumption in WSNs which eventually increases the network lifetime is strongly felt. Gravitational Search Algorithm (GSA) is a novel stochastic population-based meta-...
متن کاملAn Indoor Positioning System Based on Wi-Fi for Energy Management in Smart Buildings
To offer indoor services to occupants in the context of smart buildings, it is necessary to consider information concerning to the identity and location of the occupants. This paper proposes an indoor positioning system (IPS) based on Wi-Fi fingerprint and K-nearest neighbors (KNN) method. The positioning of a mobile device (MD) using Wi-Fi technology involves online and offline phases. In this...
متن کاملEIDA: An Energy-Intrusion aware Data Aggregation Technique for Wireless Sensor Networks
Energy consumption is considered as a critical issue in wireless sensor networks (WSNs). Batteries of sensor nodes have limited power supply which in turn limits services and applications that can be supported by them. An efcient solution to improve energy consumption and even trafc in WSNs is Data Aggregation (DA) that can reduce the number of transmissions. Two main challenges for DA are: (i)...
متن کاملAn Energy Efficient Clustering Method using Bat Algorithm and Mobile Sink in Wireless Sensor Networks
Wireless sensor networks (WSNs) consist of sensor nodes with limited energy. Energy efficiency is an important issue in WSNs as the sensor nodes are deployed in rugged and non-care areas and consume a lot of energy to send data to the central station or sink if they want to communicate directly with the sink. Recently, the IEEE 802.15.4 protocol is employed as a low-power, low-cost, and low rat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011