Mobile sink plays a pivotal role for data collection in wireless sensor networks (WSNs). But, sensor nodes close to mobile sink are bound to change their routes to Base Station(BS) or mobile sink frequently. As a result, they will generate excessive energy consumption of sensors and cause a very large delivery delay. In this paper, an energy-efficient mechanism for data collection based on single static sink and single mobile sink is proposed. The main goal is to improve network performance. We evaluated the network performance of our proposed scheme through both mathematical analysis and extensive simulations. The results show that the proposed mechanism can enhance the network lifetime and reduce the data collection latency.

An energy-efficient scheme for data collection in wireless sensor networks

Recently, the data collection problem in wireless sensor networks (WSNs) using mobile sinks has received much attention. The main challenge in such problems is constructing the path that the mobile sink (MS) will use to collect the data. In this paper, an efficient path generation algorithm for the mobile sink based on principal component analysis (PCA) is proposed. The proposed approach was evaluated using two data collection modes—direct and multihop—and it was compared with another approach called the mobile-sink-based energy-efficient clustering algorithm for wireless sensor networks (MECA). When compared with MECA, simulation results have shown that the proposed approach improves the performance of WSN in terms of the number of live nodes and average remaining energy.

An Efficient Path Generation Algorithm Using Principle Component Analysis for Mobile Sinks in Wireless Sensor Networks

One of the solutions that have been proposed in order to prolong the lifetime of Wireless Sensor Networks (WSNs) is the use of mobile sinks Depending on the application, mobile sinks can be used in WSNs for different objectives In some applications, mobile sinks are used for increasing the coverage of the sensor field Other applications employ them as data collectors Whatever the application is, the main issue in utilizing the advantage of mobile sinks is the design of the path that the sink will follow in the senor field In this paper, we use fuzzy logic in order to control the movement of the mobile sink while it collects the data from the sensor nodes During the network operation and for every R rounds, a new position of the mobile sink is calculated using fuzzy logic The calculation of the new position is considered a fuzzy logic-based decision which depends on the remaining energy of the sensor nodes and the current distance of the mobile sink relative to the sensor nodes The proposed approach was compared with an approach that uses static sink and with an approach that uses random movement of the mobile sink Simulation results have shown that the proposed approach outperforms the other approaches in terms of the remaining energy and the number of alive nodes during the network operation

Fuzzy logic-based clustering approach with mobile sink for WSNs

With the energy constraints present in wireless sensor networks, it is essential to find energy-efficient approaches that would result in enhanced network lifetime. One approach is to exploit the sink mobility, by moving it randomly or through a predefined path, to the vicinity of the sensor nodes. By doing so, the communication distance will be reduced, leading to a reduction in the consumed transmission energy. In this paper, a path generation algorithm based on the Principal Component Analysis is presented. The main goal is to find a fixed path for a single mobile sink with the minimum average distance to the sensor nodes. Simulation results indicate that this approach leads to extended network lifetime and results in an increased average energy per live node.

https://ieeexplore.ieee.org/iel7/6524253/6544378/06544412.pdf

I. Shatnawi

Papers

A path generation algorithm for mobile sinks in wireless sensor networks