Lifetime optimization of dense wireless sensor networks using continuous ring-sector model

Wireless sensor networks (WSNs) are becoming increasingly utilized in applications that require remote collection of data on environmental conditions. In particular dense WSNs emerging as an important sensing platforms for the Internet Things (IoT). able to generate huge volumes raw data, which network structuring and efficient collaboration between nodes ensure transmission. order reduce amount carried network, aggregation is used define a policy fusion compression. this paper, we investigate model WSN with single sink. The divides circular coverage region centered at sink into patches intersections sectors concentric rings, each patch aggregated node before Nodes only communicate other same sector. Based these assumptions, formulate linear programming problem maximize system lifetime by minimizing maximum proportionate energy consumption over all nodes. Under wide variety conditions, optimal solution employs two transmissions mechanisms: direct transmission, send information directly sink; stepwise transmit adjacent An exact formula given rate network. Asymptotic forms also derived, verified agree solution. We three strategies improving lifetime: nonuniform density; iterated compression; modifications rings. conclude compression brings greatest increase lifetime, but cost possible loss.