Dr Mallikarjun Mugli
@mallikarjunm@recbhalki.org
Associate Professor-Computer Science & Engineering
BKIT , BHALKI ,KARNATAKA STATE
RESEARCH INTERESTS
Wireless Sensor Networks
Scopus Publications
Scopus Publications
Mallikarjun Mugli and A.M. Bhavikatti
IEEE
In a past few years research functionality in wireless sensor network grown up in very impressive manner because of huge amount of potential application in many areas. Wireless sensor networks for big scale contains multiple numbers of sources and multiple number of sink. This plays an important role in performing applications. So for that in this research we will focus importance on the main problem of sink arrangement for minimizing time delay in worst case as well as increasing the lifespan of wireless sensor network. Here we suggest to anatomy interconnected framework for calculating the junction sink mobility, routing detail. We talk over the causes of subproblems and introduce effective result for them. Then we combine all these results and propose polynomial optimum time algorithm for the actual problem. From this result, we will display merits of involving nodes (mobile sink) and effect of network argument or parametric quantity. (Example: multiple of sensors, sinks and time delay bound) on network lifespan. As we know Wireless sensor network nodes are battery dependent devices which gather data from the environment & send this ( information)data to the sink node for further computational processing leading to the dissipation of energy in batteries The batteries are non rechargeable or it may be difficult to replace or recharge in certain environments. These problems results to design of new algorithms for energy efficiency of nodes In a typical conditions the sensor nodes shows many to one communication with the sink, resulting in faster energy depletion of the nodes the vicinity of the sink which is commonly called as the energy deficiency hole problem or the hot spot problem, & hence in this situation the mobility of the sink can help in balancing of energy dissipation of the sensor nodes In wireless sensor network when information data hold up by working sink it should be bounded. Our outcomes shows that proposed algorithm can work better compared to previous methods and give results when there are obstacles occur in remote places like example: lake, mountain, hill stations etc in the extended area of wireless sensor network. Further directive antennas can increase the transfer chain which increase to smaller hops and low number of routing delay. Finally the proposed work is analysed in terms of numerical studies and simulations are conducted to validate via MATLAB.