with the enhancement of number of devices in existing wireless communication networks, which demands for the upgrading of the number of serving devices such as nodes for the packet delivery efficiently to deal with the enhanced coverage, capacity and implementation cost using Transmission Control Protocol (TCP) and User Datagram Protocol (UDP) as an suitable building block of network in the wireless sensor network. The major issue with the wireless networks in the limited area networks under supervision will suffer with the multiple interference in the coverage area. The issues of the interfrence are incresed in the non rural areas due to higher rate of population and maximum number of user in the same vicinity. For the addressing of the challegeing issues in the wireless communication domain and certain modification to the exisiting homeogenous and heterogenous network is proposed for the improvement in terms of overall network throughput, capacity of the entire network for various nodes and variable ranges. In this present research work is carried out with demonstration of different nodes for the self organizationn criteria for existing nodes deployed with two different algorithm such as gentic algorithm and particle swarm algorithm for the self allignment of the wirelss sensor network.Finally, simulated results in NS2 and numerical values are conducted and validated to various data packets.

Wireless Sensor Network, NS2, Genetic Algorithm, Optimization, network nodes