TY - GEN
T1 - A novel cuckoo search based clustering algorithm for wireless sensor networks
AU - Adnan, Md Akhtaruzzaman
AU - Razzaque, M. A.
AU - Abedin, Md. Anowarul
AU - Salim Reza, S. M.
AU - Husein, Molla Rashied
PY - 2015/12/29
Y1 - 2015/12/29
N2 - Wireless sensor networks are primarily characterized by inadequate energy supply. Therefore, development of an energy efficient protocol can play an important role in impacting the network lifetime. Typically, communication is the most energy expensive act that nodes perform and limited energy of nodes is the main obstacle. An efficient cluster arrangement might be a solution. Though optimum clustering in wireless sensor networks is an NP-Hard problem, at present, bio-inspired metaheuristic approaches are very popular in solving them. This paper presents a centralized energy-aware clustering algorithm for wireless sensor networks using the novel bio mimic cuckoo search algorithm. The cost function was defined, with the goal of maximizing the network lifetime and minimizing the intra-cluster distance. The performance of the proposed algorithm is evaluated with well-known centralized and decentralized clustering protocols. The results derived from simulations show that proposed solution can enhance network lifetime over its comparatives.
AB - Wireless sensor networks are primarily characterized by inadequate energy supply. Therefore, development of an energy efficient protocol can play an important role in impacting the network lifetime. Typically, communication is the most energy expensive act that nodes perform and limited energy of nodes is the main obstacle. An efficient cluster arrangement might be a solution. Though optimum clustering in wireless sensor networks is an NP-Hard problem, at present, bio-inspired metaheuristic approaches are very popular in solving them. This paper presents a centralized energy-aware clustering algorithm for wireless sensor networks using the novel bio mimic cuckoo search algorithm. The cost function was defined, with the goal of maximizing the network lifetime and minimizing the intra-cluster distance. The performance of the proposed algorithm is evaluated with well-known centralized and decentralized clustering protocols. The results derived from simulations show that proposed solution can enhance network lifetime over its comparatives.
KW - Cuckoo search
KW - Energy efficiency
KW - Clustering
KW - Wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84955454369&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-24584-3_53
DO - 10.1007/978-3-319-24584-3_53
M3 - Conference proceeding contribution
SN - 9783319245829
T3 - Lecture Notes in Electrical Engineering
SP - 621
EP - 634
BT - Advanced Computer and Communication Engineering Technology
A2 - Sulaiman, Hamzah Asyrani
A2 - Rahim, Yahaya Abd
A2 - Othman, Mohd Azlishah
A2 - Pee, Naim Che
A2 - Othman, Mohd Fairuz Iskandar
PB - Springer, Springer Nature
ER -