Improved Network Lifetime in Mobile Wireless Sensor Networks using Adaptive Algorithms

Mobile Wireless Sensor Networks (MWSNs) have gained a lot of attention because of their applicability in different types of applications such as environment, healthcare, agriculture, industry automation, public safety, security and military surveillance. MWSNs are suffered from poor network lifetime because of the continuous disconnections between the mobile sensor nodes as they have limited battery power. This paper proposed and implement an adaptive algorithm(d-DSR) (implemented in DSR routing protocol) using ns-2.34,that handles the continuous disconnections because of low battery power of the mobile sensor nodes and improves the performance of the network in terms of throughput, packet delivery fraction, delay and network lifetime.

A Novel Connectivity-Based LEACH-MEEC Routing Protocol for Mobile Wireless Sensor Network

In mobile wireless sensor network (MWSN), the lifetime of the network largely depends on energy efficient routing protocol. In the literature, cluster leader (CL) is selected based on remaining energy of mobile sensor nodes to enhance sensor network lifetime. In this study, a novel connectivity-based Low-Energy Adaptive Clustering Hierarchy-Mobile Energy Efficient and Connected (LEACH-MEEC) routing protocol was proposed, where CL is selected based on connectivity among neighboring nodes and the remaining energy of mobile sensor nodes. Consequently, it improves data delivery, network lifetime and balances the energy consumption. We studied various performance metrics including the number of alive nodes (NAN), remaining energy (RE) and packet delivery ratio (PDR). Our proposed LEACH-MEEC outperforms all other algorithms due to the connectivity metric. Moreover, the performance of mobility models was investigated through graphical and statistically tabulated results. The results show that Reference Point Group Mobility model (RPGM) is better than other mobility models.