Azni A.H.Ahmad R.Seman K.Alwi N.H.M.Noh Z.A.M.2024-05-282024-05-28201697833200000001876110010.1007/978-3-319-24584-3_92-s2.0-84955454995https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955454995&doi=10.1007%2f978-3-319-24584-3_9&partnerID=40&md5=7a0eef4f28029d9548859e11d54ffb91https://link.springer.com/chapter/10.1007/978-3-319-24584-3_9https://oarep.usim.edu.my/handle/123456789/8636Advanced Computer and Communication Engineering Technology pp 93-102 Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 362)This paper proposed a new correlated topology control (CTC) algorithm to achieve optimal survival networks topology under correlated node behavior. CTC algorithm enable every node to selects its own neighbors with highly correlated cooperative node dynamically. To select neighbors, measurement scheme of correlated node cooperativity is proposed to determine misbehave node and critical node. The scheme will check on correlated degree of neighboring nodes for any misbehave node and at the same time will check if the removal of node cause network to partition. In the case if nodes removal will partition the network, a new reconstruction scheme LNL is proposed to reconnect the broken link. The simulation results show that CTC algorithm can prolong node lifetime and maintain generated survival network topology. Besides that, the algorithm successfully prevented correlated event from misbehave node and network partitioning from isolated node. Further, it is also shown that as energy consumption decreased, network performance especially packet forwarding can be significantly improved and network survivability is optimally achieved. � Springer International Publishing Switzerland 2016.en-USCorrelated behaviorMANETSSurvival networkTopology controlEnergy utilizationMobile ad hoc networksTelecommunication networksTemperature controlTopologyCorrelated behaviorMANETSNetwork partitioningNetwork survivabilityPacket forwardingSurvival networkTopology controlTopology control algorithmsAlgorithmsArticle93102362