EEDBC-M: Enhancement of Leach-Mobile protocol with Energy Efficient Density-based Clustering for Mobile Sensor Networks (MSNs)

Abstract

In recent years, Mobile sensor networks (MSNs) are significantly developed in various areas of applications. The most important feature of MSN is that the sensor nodes are small size, limited processing, low power and can able to change their location. In mobility, life time of the sensor nodes is the most critical parameter. Designing the energy efficient and reliable routing protocols for these applications is a great challenge task due to topological change of the networks and resource limitation in the environment. Existing energy efficient cluster based routing protocols like LEACH-M, LEACH-ME, and CBR-Mobile are designed for mobile sensor network which is efficient transmission of sensor nodes. But these protocols are not concentrating the wellorganized cluster formation. So there is increase the end-toend data transmission delay and more energy consumption. Therefore this paper propose an Energy Efficient Density Based Clustering for Mobile node (EEDBC-Mobile) algorithm which is on the density based clustering where as DBSCAN algorithm is used for cluster formation that are significantly more effective in discovering clusters of arbitrary shape. Then cluster head selection process is according to a node residual energy, Mobility and density such as node closeness to its neighbours. It also achieves quite uniform cluster head allocation across the network. A careful selection of the cluster head selection parameters can balance load among cluster heads. The Experimental results demonstrate that EEDBC-Mobile algorithm outperforms LEACH-Mobile in terms of the Energy consumption, Network life time, Throughput, Delay and Data Delivery ratio.

Minimization of Consumption of Energy using Clustering and Fault Tolerance using Recovery Node in Mobile Wireless Sensor Networks

“…Given that energy dissipation of the sensor depends on the distance and the data size to be transmitted, LEACH attempts to transmit data over short distances and reduce the number of transmission and reception operations [9]. The key features of LEACH are: LEACH uses a randomize rotation of high-energy CH position rather than selecting in static manner, to give a chance to all sensors to act as CHs and avoid the battery depletion of an individual sensor and dyeing quickly [10]. The operation of LEACH is divided into rounds, each of which has mainly two phases as given below:…”

Self-servicing energy efficient routing strategy for smart forest

“…However, this algorithm also consumes more energy so as to be able to identify mobility factors for nodes in the network. Anitha and Kamalakkannan (2013) presented an advancement over LEACH-M protocol. In their paper, the authors presented EEDBC-M.…”

Energy Efficient Centralized Dynamic Clustering Reservation Mac Protocol for MWSN

“…Anitha et al [5] used EEDBC-M protocol to enhance LEACH-mobile with a better cluster formation process. In a clustered MWSN, random node mobility dynamically influences the topology of the network.…”