TY  - JOUR
T1  - Optimization Methods for Data Storage Position in Wireless Sensor Networks: A Survey
AU - Nitha, P. AU - Periasamy, P.S. AU - , Mohanosundaram 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 13
SP  - 2238
EP  - 2243
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.2238.2243
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.2238.2243
KW  - Wireless Sensor Networks (WSN)
KW  -data storage node placement problem
KW  -total energy cost minimization
KW  -Optimal Data Storage (ODS)
KW  -data rate
KW  -eographical location
AB  - Data storage has been becomes a significant issue in Wireless Sensor Networks (WSNs) since the information collected from nodes should to be used for future information recovery. For this purpose storage nodes are introduced to collect the information regarding sensors in WSNs. But the maintenance of storage nodes to obtain less energy consumption and reduced communication cost stimulated by the network query along with heavy load of transmitting each and every one data to a central place is not an easy task. To alleviate the problem of storage node, several data storage schemas are introduced in recent work. In these schemas using storage nodes in WSNs but here how to select appropriate positions for storage nodes becomes a major important issue. To alleviate the problem of storage node positions various heuristic algorithm and Meta heuristic algorithms is proposed in recent works to find the exact positions for k storage nodes while minimization of total energy cost consumption. In this survey study we study the detailed review of various heuristic algorithms and Meta heuristic algorithms. An issue of those methods in WSNs for storage node position problem is also studied in detail. Then implemented these algorithms in a Wireless Sensor Network simulator (NS2) and some experimentation is carryout. The simulation results demonstrate that the feasibility and efficiency results of various heuristic algorithms.
ER  -