{"title":"Stagnant free ant based energy aware heuristic routing in wireless sensor network","authors":"Majid Qayyum, Sohail Jabbar, Shahzad Rizwan, Farooq Azam","doi":"10.1109/CTS.2012.6261044","DOIUrl":null,"url":null,"abstract":"In shortest path finding, the main issue that is faced is the stagnation of path. This prong is very challenging for rapid depletion of constraint resources like of Wireless Sensor Network (WSN). This makes the working of foraging process inapplicable in most of the domains especially where the resources are in stringent constraint. In this research article, we have proposed a novel technique for the aforementioned issue which outperforms the existing techniques with respect to network utilization, network life time, latency, energy consumption and total network residual energy are the performance evaluation parameters. Taking into consideration, the heuristic functions I, heuristic function II and the pheromone concentration to calculate the probability function for releasing from stagnant path portrays the better results among the most famous existing path stagnation solution; Pheromone Heuristic Control (PHC).","PeriodicalId":200122,"journal":{"name":"2012 International Conference on Collaboration Technologies and Systems (CTS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Collaboration Technologies and Systems (CTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CTS.2012.6261044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In shortest path finding, the main issue that is faced is the stagnation of path. This prong is very challenging for rapid depletion of constraint resources like of Wireless Sensor Network (WSN). This makes the working of foraging process inapplicable in most of the domains especially where the resources are in stringent constraint. In this research article, we have proposed a novel technique for the aforementioned issue which outperforms the existing techniques with respect to network utilization, network life time, latency, energy consumption and total network residual energy are the performance evaluation parameters. Taking into consideration, the heuristic functions I, heuristic function II and the pheromone concentration to calculate the probability function for releasing from stagnant path portrays the better results among the most famous existing path stagnation solution; Pheromone Heuristic Control (PHC).