Energy Efficient Clustering Using Fixed Sink Mobility for Wireless Sensor Networks

Abstract

Abstract-In this research an efficient data gathering scheme is presented using mobile sink as data collector with Clustering as sensor organizer in a randomly organized sensors in sensing field for wireless sensor network. The scheme not only extends the network lifetime through clustering process but also improves the data gathering mechanism through efficient and simplified mobile sink movement scheme. The cluster heads selection is based on both energy and data weight, which gathering all the data from the nodes within a cluster and then delivers it to the sink. The single mobile sink which visits the cluster heads as per defined path gathers data periodically. The scheme is organized through "Mobile Sink based Data Gathering Protocol (MSDGP)" which combines single message energy efficient clustering and data gathering process. For performance evaluation, the protocol is extensively simulated for different performance metrics, namely Residual energy consumption, Number of dead nodes during variable number of rounds and Network lifetime. The results proves that MSDGP is successful in achieving the defined objectives of energy efficiency and is capable of extending the network lifetime by increasing the number of rounds. Therefore, proposed protocol is more suitable for scenarios where sensor nodes generate variable amount of data.

Incorporate ACO routing algorithm and mobile sink in wireless sensor networks

“…In this paper [22]- [24], the author Ali et al [26] studied to mix LEACH-C routing algorithm and Dijkstra algorithm to boost the energy consumption within the network. A mobile sink can move from the sink to CHs to retrieve information, the direction of the mobile sink's movement is set by the Dijkstra algorithm.…”

Dissimulation-based and load-balance-aware routing protocol for request and event oriented mobile wireless sensor networks

“…Unpredictable mobility based protocols Predictable mobility based protocols Intanagonwiwat et al [18] Saleh et al [2] Majid et al [9] Hayes and Ali [10,22] Umar et al [8] Cugola and Migliavacca [15] Padmavati and Trilok [4] Sharma et al [5] Burgos et al [3] Ali et al [6] Akbar et al [7] Figure 1: Classification of existing routing protocols in MWSNs…”