机构地区:[1]Department of Computer Science,National University of Defense Technology,Changsha 410073,China
出 处:《Science China(Information Sciences)》2012年第6期1323-1336,共14页中国科学(信息科学)(英文版)
基 金:supported by National Natural Science Foundation of China(Grant Nos.60903223,60903224);Hunan Natural Science Foundation(Grant No.11jj4053);National Basic Research Program of China(Grant No.2011CB302601);China 973 WSNs Joint Lab at Shanghai
摘 要:Code dissemination is currently a major research issue in wireless sensor networks (WSNs).Many studies focus on code dissemination in homogeneous WSNs,mainly using a broadcast approach to solve this problem; few studies on code dissemination in heterogeneous WSNs.Furthermore,broadcasting cannot readily be used to solve the heterogenous WSN code dissemination problem directly,which is where we have focused our attention.We transformed this problem into a minimum non-leaf nodes (MNN) Steiner tree problem.We designed a scalable multicast protocol,named Heterogeneous Sensor Networks Scalable Reprogramming Protocol (HSR) to solve the MNN problem.HSR can build different multicast trees according to different nodes or code modules to disseminate different codes to them.HSR is able to approximate the MNN tree problem to a ratio of ln|R| (R is the set of all destinations) best known lowest bound.Therefore,the communication cost is significantly decreased and the total energy required by WSNs is reduced.We further designed two scalable schemes,special routing log and hops-restricted local broadcast,which compress the multicast tree information and deliver the multicast messages without loss.We also designed a 3-stage pipeline to speed up the transmission of packets,which alleviated interference and hidden terminal issues.We evaluated our design through comprehensive simulations and prototype implementations on Mica2 motes.Experimental results demonstrate that HSR outperforms previous protocols including the most recent studies on Sprinkler and uCast.Code dissemination is currently a major research issue in wireless sensor networks (WSNs).Many studies focus on code dissemination in homogeneous WSNs,mainly using a broadcast approach to solve this problem; few studies on code dissemination in heterogeneous WSNs.Furthermore,broadcasting cannot readily be used to solve the heterogenous WSN code dissemination problem directly,which is where we have focused our attention.We transformed this problem into a minimum non-leaf nodes (MNN) Steiner tree problem.We designed a scalable multicast protocol,named Heterogeneous Sensor Networks Scalable Reprogramming Protocol (HSR) to solve the MNN problem.HSR can build different multicast trees according to different nodes or code modules to disseminate different codes to them.HSR is able to approximate the MNN tree problem to a ratio of ln|R| (R is the set of all destinations) best known lowest bound.Therefore,the communication cost is significantly decreased and the total energy required by WSNs is reduced.We further designed two scalable schemes,special routing log and hops-restricted local broadcast,which compress the multicast tree information and deliver the multicast messages without loss.We also designed a 3-stage pipeline to speed up the transmission of packets,which alleviated interference and hidden terminal issues.We evaluated our design through comprehensive simulations and prototype implementations on Mica2 motes.Experimental results demonstrate that HSR outperforms previous protocols including the most recent studies on Sprinkler and uCast.
关 键 词:wireless sensor networks REPROGRAMMING code dissemination MULTICAST sealable
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