Background:
Wireless Sensor Networks (WSNs) is considered one of the key research area
in the recent. Various applications of WSNs need geographic location of the sensor nodes.
Objective:
Localization in WSNs plays an important role because without knowledge of sensor nodes
location the information is useless. Finding the accurate location is very crucial in Wireless Sensor
Networks. The efficiency of any localization approach is decided on the basis of accuracy and localization
error. In range-free localization approaches, the location of unknown nodes are computed by
collecting the information such as minimum hop count, hop size information from neighbors nodes.
Methods:
Although various studied have been done for computing the location of nodes but still, it is
an enduring research area. To mitigate the problems of existing algorithms, a range-free Improved
Weighted Novel DV-Hop localization algorithm is proposed. Main motive of the proposed study is
to reduced localization error with least energy consumption. Firstly, the location information of anchor
nodes is broadcasted upto M hop to decrease the energy consumption. Further, a weight factor
and correction factor are introduced which refine the hop size of anchor nodes.
Results:
The refined hop size is further utilized for localization to reduces localization error significantly.
The simulation results of the proposed algorithm are compared with other existing algorithms for
evaluating the effectiveness and the performance. The simulated results are evaluated in terms localization
error and computational cost by considering different parameters such as node density, percentage
of anchor nodes, transmission range, effect of sensing field and effect of M on localization error. Further
statistical analysis is performed on simulated results to prove the validation of proposed algorithm. A
paired T-test is applied on localization error and localization time. The results of T-test depicts that the
proposed algorithm significantly improves the localization accuracy with least energy consumption as
compared to other existing algorithms like DV-Hop, IWCDV-Hop, and IDV-Hop.
Conclusion:
From the simulated results, it is concluded that the proposed algorithm offers 36% accurate
localization than traditional DV-Hop and 21 % than IDV-Hop and 13% than IWCDV-Hop.
Minimum energy transmission forest‐based geocast in
software‐defined
wireless sensor networks
