Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Connecting the Physical World with Pervasive Networks
IEEE Pervasive Computing
Data Gathering Algorithms in Sensor Networks Using Energy Metrics
IEEE Transactions on Parallel and Distributed Systems
A Weight Based Distributed Clustering Algorithm for Mobile ad hoc Networks
HiPC '00 Proceedings of the 7th International Conference on High Performance Computing
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Combs, needles, haystacks: balancing push and pull for discovery in large-scale sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Deploying a Wireless Sensor Network on an Active Volcano
IEEE Internet Computing
ICN '07 Proceedings of the Sixth International Conference on Networking
SENDROM: sensor networks for disaster relief operations management
Wireless Networks
An energy-efficient data gathering algorithm to prolong lifetime of wireless sensor networks
Computer Communications
Performance of a data gather scheme with novel chain construction for wireless sensor networks
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Information discovery in mission-critical wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
IEEE Communications Magazine
Wireless Personal Communications: An International Journal
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This study proposes the ideal energy mathematical model for the ideal PEGASIS architecture. Since the distance between nodes is the same, this ideal energy mathematical model can obtain a longer network lifetime than that of the PEGASIS architecture in a WSN. To achieve this objective, the intra-grid PEGASIS architecture, which is architecture that is based on the PEGASIS architecture, is proposed. In the proposed architecture, the sensor area is divided into several network grids, and the nodes of each network grid are deployed at random locations, and the nodes in the network grid are connected. Finally, all of the network grids are connected. The results of a simulation reveal that the energy consumption in each round in the ideal PEGASIS architecture almost equals that in the intra-grid PEGASIS architecture, but the PEGASIS architecture consumes the most energy in each round. Additionally, only a tiny difference is found between the network lifetime of the ideal PEGASIS and that of the intra-grid PEGASIS architecture, and the PEGASIS architecture has the shortest network lifetime.