Design issues in self-organizing wireless sensor networks

Self-Organization properties of the nodes in wireless network play an important role in achieving network wide characteristics. In harsh conditions where network connectivity is less, increasing connectivity with faster data transmission is clearly an area of research. Connectivity of the nodes is dependent on many factors like, energy, position, mobility and environmental changes. Modeling an algorithm that can increase the connectivity despite above mentioned factors is a challenge that we have tried to investigate. Faster data transmissions can be achieved by reducing average path length from source to destination. In real networks, however, increasing connectivity and reducing average path length is a hard task. One way to reduce average path lengths is by the use of Small World phenomenon. Thus here in this work we try to investigate how Small World phenomenon can help us in our goal of achieving higher connectivity and reduced average path length. Our model results show that using Small World connectivity can also be increased with the reduction in the average path length.